Loading pre-trained spanBERT from ./pretrained_spanbert ____ Parameters: Client key = XXXXXX Engine key = XXXXXX Gemini key = XXXXXX Method = spanbert Relation = Work_For Threshold = 0.7 Query = bill gates microsoft # of Tuples = 10 Loading necessary libraries; This should take a minute or so ...) =========== Iteration: 0 - Query: bill gates microsoft =========== URL ( 1 / 10): https://en.wikipedia.org/wiki/Bill_Gates Fetching text from url ... Trimming webpage content from 146247 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 48 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 48 sentences Processed 10 / 48 sentences === Extracted Relation === Input tokens: ['founder', 'of', 'TerraPower', 'Founder', 'of', 'Breakthrough', 'Energy', 'Founder', 'of', 'Gates', 'Ventures', 'Technology', 'advisor', 'of', 'Microsoft', 'Spouse', 'Melinda', 'French', ' ', '('] Output Confidence: 0.83554167 ; Subject: Melinda ; Object: TerraPower ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['founder', 'of', 'TerraPower', 'Founder', 'of', 'Breakthrough', 'Energy', 'Founder', 'of', 'Gates', 'Ventures', 'Technology', 'advisor', 'of', 'Microsoft', 'Spouse', 'Melinda', 'French', ' ', '('] Output Confidence: 0.97878337 ; Subject: Melinda ; Object: Breakthrough Energy ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['founder', 'of', 'TerraPower', 'Founder', 'of', 'Breakthrough', 'Energy', 'Founder', 'of', 'Gates', 'Ventures', 'Technology', 'advisor', 'of', 'Microsoft', 'Spouse', 'Melinda', 'French', ' ', '('] Output Confidence: 0.9954308 ; Subject: Melinda ; Object: Gates Ventures Technology ; Adding to set of extracted relations ========== Processed 15 / 48 sentences Processed 20 / 48 sentences Processed 25 / 48 sentences === Extracted Relation === Input tokens: ['He', 'stepped', 'down', 'as', 'chairman', 'of', 'the', 'board', 'of', 'directors', 'in', '2014', 'and', 'became', 'technology', 'adviser', 'to', 'CEO', 'Satya', 'Nadella', 'and', 'other', 'Microsoft', 'leaders', ','] Output Confidence: 0.99681926 ; Subject: Satya Nadella ; Object: Microsoft ; Adding to set of extracted relations ========== Processed 30 / 48 sentences === Extracted Relation === Input tokens: ['Gates', 'is', 'founder', 'and', 'chairman', 'of', 'several', 'other', 'companies', ',', 'including', 'BEN', ',', 'Cascade', 'Investment', ','] Output Confidence: 0.9917772 ; Subject: Gates ; Object: BEN, Cascade Investment ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Gates', 'is', 'founder', 'and', 'chairman', 'of', 'several', 'other', 'companies', ',', 'including', 'BEN', ',', 'Cascade', 'Investment', ',', 'TerraPower', ',', 'Gates', 'Ventures', ','] Output Confidence: 0.98270506 ; Subject: Gates ; Object: TerraPower, ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Gates', 'is', 'founder', 'and', 'chairman', 'of', 'several', 'other', 'companies', ',', 'including', 'BEN', ',', 'Cascade', 'Investment', ',', 'TerraPower', ',', 'Gates', 'Ventures', ','] Output Confidence: 0.9920854 ; Subject: Gates ; Object: Gates Ventures ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Gates', 'is', 'founder', 'and', 'chairman', 'of', 'several', 'other', 'companies', ',', 'including', 'BEN', ',', 'Cascade', 'Investment', ',', 'TerraPower', ',', 'Gates', 'Ventures', ',', 'and', 'Breakthrough', 'Energy', '.'] Output Confidence: 0.991435 ; Subject: Gates ; Object: Breakthrough Energy ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['he', 'and', 'Warren', 'Buffett', 'founded', 'the', 'Giving', 'Pledge', ','] Output Confidence: 0.97438645 ; Subject: Warren Buffett ; Object: the Giving Pledge ; Adding to set of extracted relations ========== Processed 35 / 48 sentences Processed 40 / 48 sentences === Extracted Relation === Input tokens: ['with', 'Paul', 'Allen', 'seated', 'at', 'Teletype', 'Model', '33', 'ASR', 'terminals', 'in', 'Lakeside', 'School', ',', '1970', 'At', 'age', '13', ',', 'he', 'enrolled', 'in', 'the', 'private', 'Lakeside', 'prep', 'school.[14][15', ']'] Output Confidence: 0.42926803 ; Subject: Paul Allen ; Object: Lakeside ; Confidence is lower than threshold confidence. Ignoring this. ========== Processed 45 / 48 sentences Extracted annotations for 5 out of total 48 sentences Relations extracted from this website: 9 (Overall: 10) URL ( 2 / 10): https://www.instagram.com/thisisbillgates/?hl=en Fetching text from url ... Webpage length (num characters): 0 Annotating the webpage using spacy... Extracted 0 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 0 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 3 / 10): https://www.linkedin.com/in/williamhgates Fetching text from url ... Webpage length (num characters): 1 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 4 / 10): https://x.com/billgates Fetching text from url ... Webpage length (num characters): 251 Annotating the webpage using spacy... Extracted 5 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 5 sentences Extracted annotations for 0 out of total 5 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 5 / 10): https://news.microsoft.com/2020/03/13/microsoft-announces-change-to-its-board-of-directors/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 6 / 10): https://www.gatesnotes.com/ Fetching text from url ... Webpage length (num characters): 210 Annotating the webpage using spacy... Extracted 2 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 2 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 7 / 10): https://www.youtube.com/billgates Fetching text from url ... Webpage length (num characters): 166 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 8 / 10): https://news.microsoft.com/2006/06/15/microsoft-announces-plans-for-july-2008-transition-for-bill-gates/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 9 / 10): https://www.microsoft.com/ Fetching text from url ... Webpage length (num characters): 2103 Annotating the webpage using spacy... Extracted 5 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 5 sentences Extracted annotations for 0 out of total 5 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 10 / 10): https://answers.microsoft.com/en-us/windows/forum/all/a-short-letter-to-bill-gates/59fdd4d0-6330-40da-9e66-fa6c29836454 Fetching text from url ... Webpage length (num characters): 13 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) ================== ALL RELATIONS for per:employee_of ( 9 ) ================= Confidence: 0.99681926 | Subject: Satya Nadella | Object: Microsoft Confidence: 0.9954308 | Subject: Melinda | Object: Gates Ventures Technology Confidence: 0.9920854 | Subject: Gates | Object: Gates Ventures Confidence: 0.9917772 | Subject: Gates | Object: BEN, Cascade Investment Confidence: 0.991435 | Subject: Gates | Object: Breakthrough Energy Confidence: 0.98270506 | Subject: Gates | Object: TerraPower, Confidence: 0.97878337 | Subject: Melinda | Object: Breakthrough Energy Confidence: 0.97438645 | Subject: Warren Buffett | Object: the Giving Pledge Confidence: 0.83554167 | Subject: Melinda | Object: TerraPower =========== Iteration: 1 - Query: Satya Nadella Microsoft =========== URL ( 1 / 10): https://news.microsoft.com/source/exec/satya-nadella/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 2 / 10): https://en.wikipedia.org/wiki/Satya_Nadella Fetching text from url ... Trimming webpage content from 31577 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 69 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 69 sentences Processed 10 / 69 sentences === Extracted Relation === Input tokens: ['Satya', 'NadellaNadella', 'in', '2017BornSatya', 'Narayana', 'Nadella', '(', '1967', '-', '08', '-', '19', ')', '19', 'August', '1967', '(', 'age', '57)Hyderabad', ',', 'IndiaCitizenshipUnited', 'States[1]Education', 'Manipal', 'Institute', 'of', 'Technology', '('] Output Confidence: 0.8725702 ; Subject: Satya NadellaNadella ; Object: IndiaCitizenshipUnited States[1]Education Manipal Institute of Technology ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['active1992', '–', 'presentTitleChairman', 'and', 'CEO', 'of', 'MicrosoftSpouse', 'Anupama', 'Nadella', '('] Output Confidence: 0.99598545 ; Subject: active1992 ; Object: MicrosoftSpouse ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['active1992', '–', 'presentTitleChairman', 'and', 'CEO', 'of', 'MicrosoftSpouse', 'Anupama', 'Nadella', '(', 'm.', '1992)Children3AwardsPadma', 'Bhushan', '('] Output Confidence: 0.9959998 ; Subject: Bhushan ; Object: MicrosoftSpouse ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['active1992', '–', 'presentTitleChairman', 'and', 'CEO', 'of', 'MicrosoftSpouse', 'Anupama', 'Nadella', '(', 'm.', '1992)Children3AwardsPadma', 'Bhushan', '(', '2022)WebsiteMicrosoft', 'profileSignature', 'Satya', 'Narayana', 'Nadella', '('] Output Confidence: 0.99736625 ; Subject: Satya Narayana Nadella ; Object: MicrosoftSpouse ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['of', 'Microsoft', ',', 'succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']'] Output Confidence: 0.992757 ; Subject: Steve Ballmer ; Object: Microsoft ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['of', 'Microsoft', ',', 'succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']', 'and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']'] Output Confidence: 0.99557793 ; Subject: John W. Thompson ; Object: Microsoft ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['succeeding', 'Steve', 'Ballmer', 'in', '2014', 'as', 'CEO[2][3', ']', 'and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']', 'Before', 'becoming', 'CEO', ',', 'he', 'was', 'the', 'executive', 'vice', 'president', 'of', 'Microsoft', "'s", 'cloud', 'and', 'enterprise', 'group', ','] Output Confidence: 0.99683493 ; Subject: Steve Ballmer ; Object: Microsoft ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['and', 'John', 'W.', 'Thompson', 'in', '2021', 'as', 'chairman.[4][5', ']', 'Before', 'becoming', 'CEO', ',', 'he', 'was', 'the', 'executive', 'vice', 'president', 'of', 'Microsoft', "'s", 'cloud', 'and', 'enterprise', 'group', ','] Output Confidence: 0.99552935 ; Subject: John W. Thompson ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== === Extracted Relation === Input tokens: ['Bukkapuram', 'Nadella', 'Yugandhar', ',', 'was', 'an', 'Indian', 'Administrative', 'Service', 'officer', 'of', 'the', '1962', 'batch.[12][13][9', ']'] Output Confidence: 0.99724245 ; Subject: Bukkapuram Nadella Yugandhar ; Object: Indian Administrative Service ; Adding to set of extracted relations ========== Processed 15 / 69 sentences === Extracted Relation === Input tokens: ['Career', 'Sun', 'Microsystems', 'Nadella', 'worked', 'at', 'Sun', 'Microsystems', 'as', 'a', 'member', 'of', 'its', 'technology', 'staff', 'before', 'joining', 'Microsoft', 'in', '1992.[25', ']'] Output Confidence: 0.9954158 ; Subject: Nadella ; Object: Sun Microsystems ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Career', 'Sun', 'Microsystems', 'Nadella', 'worked', 'at', 'Sun', 'Microsystems', 'as', 'a', 'member', 'of', 'its', 'technology', 'staff', 'before', 'joining', 'Microsoft', 'in', '1992.[25', ']'] Output Confidence: 0.98318416 ; Subject: Nadella ; Object: Microsoft ; Adding to set of extracted relations ========== Processed 20 / 69 sentences === Extracted Relation === Input tokens: ['Microsoft', '1992–2014', 'Nadella', 'on', 'his', 'first', 'day', 'as', 'CEO', 'of', 'Microsoft', ',', 'with', 'former', 'CEOs', 'Bill', 'Gates', '('] Output Confidence: 0.99348384 ; Subject: Bill Gates ; Object: Microsoft ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', '1992–2014', 'Nadella', 'on', 'his', 'first', 'day', 'as', 'CEO', 'of', 'Microsoft', ',', 'with', 'former', 'CEOs', 'Bill', 'Gates', '(', 'left', ')', 'and', 'Steve', 'Ballmer', '('] Output Confidence: 0.9720391 ; Subject: Steve Ballmer ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== === Extracted Relation === Input tokens: ['At', 'Microsoft', ',', 'Nadella', 'has', 'led', 'major', 'projects', 'that', 'included', 'the', 'company', "'s", 'move', 'to', 'cloud', 'computing', 'and', 'the', 'development', 'of', 'one', 'of', 'the', 'largest', 'cloud', 'infrastructures', 'in', 'the', 'world.[26', ']'] Output Confidence: 0.9147154 ; Subject: Nadella ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== === Extracted Relation === Input tokens: ['At', 'Microsoft', ',', 'Nadella', 'has', 'led', 'major', 'projects', 'that', 'included', 'the', 'company', "'s", 'move', 'to', 'cloud', 'computing', 'and', 'the', 'development', 'of', 'one', 'of', 'the', 'largest', 'cloud', 'infrastructures', 'in', 'the', 'world.[26', ']', 'Nadella', 'worked', 'as', 'the', 'senior', 'vice', '-'] Output Confidence: 0.9946683 ; Subject: Nadella ; Object: Microsoft ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'worked', 'as', 'the', 'senior', 'vice', '-', 'president', 'of', 'research', 'and', 'development', '(', 'R&D', ')', 'for', 'the', 'Online', 'Services', 'Division', 'and', 'vice', '-'] Output Confidence: 0.9967438 ; Subject: Nadella ; Object: the Online Services Division ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'worked', 'as', 'the', 'senior', 'vice', '-', 'president', 'of', 'research', 'and', 'development', '(', 'R&D', ')', 'for', 'the', 'Online', 'Services', 'Division', 'and', 'vice', '-', 'president', 'of', 'the', 'Microsoft', 'Business', 'Division.[27', ']'] Output Confidence: 0.9952609 ; Subject: Nadella ; Object: the Microsoft Business Division.[27] ; Adding to set of extracted relations ========== Processed 25 / 69 sentences === Extracted Relation === Input tokens: ['Previous', 'positions', 'held', 'by', 'Nadella', 'include:[32', ']', 'President', 'of', 'the', 'Server', '&', 'Tools', 'Division', '('] Output Confidence: 0.99260134 ; Subject: Nadella ; Object: the Server & Tools Division ; Adding to set of extracted relations ========== Processed 30 / 69 sentences Processed 35 / 69 sentences === Extracted Relation === Input tokens: ['Nadella', "'s", 'tenure', 'at', 'Microsoft', 'has', 'emphasized', 'working', 'with', 'companies', 'and', 'technologies', 'with', 'which', 'Microsoft', 'also', 'competes', ','] Output Confidence: 0.9272109 ; Subject: Nadella ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== === Extracted Relation === Input tokens: ['and', 'Microsoft', 'joined', 'the', 'Linux', 'Foundation', 'as', 'a', 'Platinum', 'member', 'in', '2016.[45', ']', 'Under', 'Nadella', ','] Output Confidence: 0.966364 ; Subject: Nadella ; Object: the Linux Foundation ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['and', 'Microsoft', 'joined', 'the', 'Linux', 'Foundation', 'as', 'a', 'Platinum', 'member', 'in', '2016.[45', ']', 'Under', 'Nadella', ','] Output Confidence: 0.967694 ; Subject: Nadella ; Object: Platinum ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', 'acquired', 'GitHub', 'for', 'US$', '7.5', 'billion.[53', ']', 'As', 'of', 'November', '2023', ',', 'Microsoft', 'stock', 'had', 'increased', 'nearly', 'tenfold', 'since', 'Nadella', 'became', 'CEO', 'in', '2014', ','] Output Confidence: 0.99748 ; Subject: Nadella ; Object: Microsoft ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', 'acquired', 'GitHub', 'for', 'US$', '7.5', 'billion.[53', ']', 'As', 'of', 'November', '2023', ',', 'Microsoft', 'stock', 'had', 'increased', 'nearly', 'tenfold', 'since', 'Nadella', 'became', 'CEO', 'in', '2014', ','] Output Confidence: 0.99674004 ; Subject: Nadella ; Object: GitHub ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Microsoft', 'stock', 'had', 'increased', 'nearly', 'tenfold', 'since', 'Nadella', 'became', 'CEO', 'in', '2014', ','] Output Confidence: 0.9930923 ; Subject: Nadella ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== Processed 40 / 69 sentences === Extracted Relation === Input tokens: ['Sanjay', 'Parthasarathy', ',', 'and', 'the', 'GMR', 'Group', 'purchased', 'the', 'Seattle', 'Orcas', 'cricket', 'team', 'which', 'is', 'a', 'part', 'of', '2023', 'Major', 'League', 'Cricket'] Output Confidence: 0.57783884 ; Subject: Sanjay Parthasarathy ; Object: GMR Group ; Confidence is lower than threshold confidence. Ignoring this. ========== Processed 45 / 69 sentences === Extracted Relation === Input tokens: ['the', 'Government', 'of', 'India', 'awarded', 'Nadella', 'the', 'Padma', 'Bhushan', ',', 'the', 'third', 'highest', 'civilian', 'award', 'in', 'India.[68', ']', 'Nadella', 'was', 'awarded', 'an', 'honorary', 'Ph.D.', 'from', 'the', 'Georgia', 'Institute', 'of', 'Technology', 'in', 'January', '2024.[69', ']'] Output Confidence: 0.897415 ; Subject: Nadella ; Object: the Government of India ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'was', 'awarded', 'an', 'honorary', 'Ph.D.', 'from', 'the', 'Georgia', 'Institute', 'of', 'Technology', 'in', 'January', '2024.[69', ']'] Output Confidence: 0.62056744 ; Subject: Nadella ; Object: the Georgia Institute of Technology ; Confidence is lower than threshold confidence. Ignoring this. ========== === Extracted Relation === Input tokens: ['Nadella', 'was', 'awarded', 'an', 'honorary', 'Ph.D.', 'from', 'the', 'Georgia', 'Institute', 'of', 'Technology', 'in', 'January', '2024.[69', ']'] Output Confidence: 0.40122268 ; Subject: Ph.D. ; Object: the Georgia Institute of Technology ; Confidence is lower than threshold confidence. Ignoring this. ========== === Extracted Relation === Input tokens: ['Nadella', 'married', 'Anupama', 'Priyadarshini', ',', 'the', 'daughter', 'of', 'his', 'father', "'s", 'Indian', 'Administrative', 'Service', '('] Output Confidence: 0.8871784 ; Subject: Nadella ; Object: Indian Administrative Service ; Adding to set of extracted relations ========== Processed 50 / 69 sentences === Extracted Relation === Input tokens: ['Nadella', 'and', 'his', 'wife', 'Anupama', 'are', 'part', 'of', 'the', 'ownership', 'group', 'of', 'Seattle', 'Sounders', 'FC', ','] Output Confidence: 0.9911577 ; Subject: Nadella ; Object: Seattle Sounders FC ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'and', 'his', 'wife', 'Anupama', 'are', 'part', 'of', 'the', 'ownership', 'group', 'of', 'Seattle', 'Sounders', 'FC', ',', 'a', 'Major', 'League', 'Soccer', 'club.[81', ']'] Output Confidence: 0.9963959 ; Subject: Nadella ; Object: Major League Soccer ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'and', 'his', 'wife', 'Anupama', 'are', 'part', 'of', 'the', 'ownership', 'group', 'of', 'Seattle', 'Sounders', 'FC', ','] Output Confidence: 0.9289272 ; Subject: Anupama ; Object: Seattle Sounders FC ; Adding to set of extracted relations ========== === Extracted Relation === Input tokens: ['Nadella', 'and', 'his', 'wife', 'Anupama', 'are', 'part', 'of', 'the', 'ownership', 'group', 'of', 'Seattle', 'Sounders', 'FC', ',', 'a', 'Major', 'League', 'Soccer', 'club.[81', ']'] Output Confidence: 0.9924441 ; Subject: Anupama ; Object: Major League Soccer ; Adding to set of extracted relations ========== Processed 55 / 69 sentences === Extracted Relation === Input tokens: ['"', 'Microsoft', 'CEO', 'Satya', 'Nadella', 'Once', 'Gave', 'Up', 'His', 'Green', 'Card', 'For', 'Love', '"'] Output Confidence: 0.6572112 ; Subject: Satya Nadella ; Object: Microsoft ; Confidence is lower than threshold confidence. Ignoring this. ========== Processed 60 / 69 sentences Processed 65 / 69 sentences === Extracted Relation === Input tokens: ['"', 'Microsoft', 'Board', 'names', 'Satya', 'Nadella', 'as', 'CEO', '"'] Output Confidence: 0.8866856 ; Subject: Satya Nadella ; Object: Microsoft Board ; Adding to set of extracted relations ========== Extracted annotations for 16 out of total 69 sentences Relations extracted from this website: 26 (Overall: 35) URL ( 3 / 10): https://news.microsoft.com/exec/satya-nadella/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 4 / 10): https://www.linkedin.com/in/satyanadella Fetching text from url ... Webpage length (num characters): 1 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 5 / 10): https://fortune.com/2025/03/17/bill-gates-microsoft-satya-nadella-succession-planning-ceo-role/ Fetching text from url ... Webpage length (num characters): 2292 Annotating the webpage using spacy... Extracted 16 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 16 sentences Processed 10 / 16 sentences Processed 15 / 16 sentences Extracted annotations for 0 out of total 16 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 6 / 10): https://www.youtube.com/watch?v=4GLSzuYXh6w Fetching text from url ... Webpage length (num characters): 215 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 7 / 10): https://www.microsoft.com/en-us/microsoft-365/blog/2020/04/30/2-years-digital-transformation-2-months/ Fetching text from url ... Webpage length (num characters): 2103 Annotating the webpage using spacy... Extracted 5 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 5 sentences Extracted annotations for 0 out of total 5 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 8 / 10): https://blogs.microsoft.com/blog/2023/01/18/subject-focusing-on-our-short-and-long-term-opportunity/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) URL ( 9 / 10): https://www.chicagobooth.edu/magazine/leadership-lessons-satya-nadella Fetching text from url ... Trimming webpage content from 14985 to 10000 characters Webpage length (num characters): 10000 Annotating the webpage using spacy... Extracted 63 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Processed 5 / 63 sentences Processed 10 / 63 sentences Processed 15 / 63 sentences Processed 20 / 63 sentences === Extracted Relation === Input tokens: ['Microsoft', 'CEO', 'Satya', 'Nadella', ','] Output Confidence: 0.99515754 ; Subject: Satya Nadella ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== === Extracted Relation === Input tokens: ['By', 'Sandra', 'Jones', '\r ', 'January', '10', ',', '2019', 'Leadership', 'When', 'Satya', 'Nadella', ',', '’', '97', ',', 'interviewed', 'for', 'his', 'first', 'job', 'at', 'Microsoft', 'Corp.', 'in', 'the', '1990s', ','] Output Confidence: 0.98111755 ; Subject: Sandra Jones ; Object: Microsoft Corp. ; Adding to set of extracted relations ========== Processed 25 / 63 sentences Processed 30 / 63 sentences Processed 35 / 63 sentences Processed 40 / 63 sentences === Extracted Relation === Input tokens: ['the', 'third', 'CEO', 'in', 'Microsoft', '’s', '43', '-', 'year', 'history', ',', 'succeeding', 'Steve', 'Ballmer', 'and', 'Bill', 'Gates', '.'] Output Confidence: 0.9707918 ; Subject: Steve Ballmer ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== === Extracted Relation === Input tokens: ['the', 'third', 'CEO', 'in', 'Microsoft', '’s', '43', '-', 'year', 'history', ',', 'succeeding', 'Steve', 'Ballmer', 'and', 'Bill', 'Gates', '.'] Output Confidence: 0.99287415 ; Subject: Bill Gates ; Object: Microsoft ; Duplicate with lower confidence than existing record. Ignoring this. ========== Processed 45 / 63 sentences Processed 50 / 63 sentences Processed 55 / 63 sentences Processed 60 / 63 sentences Extracted annotations for 3 out of total 63 sentences Relations extracted from this website: 1 (Overall: 4) URL ( 10 / 10): https://blogs.microsoft.com/blog/2020/06/23/addressing-racial-injustice/ Fetching text from url ... Webpage length (num characters): 35 Annotating the webpage using spacy... Extracted 1 sentences. Processing each sentence one by one to check for presence of right pair of named entity types; if so, will run the second pipeline ... Extracted annotations for 0 out of total 1 sentences Relations extracted from this website: 0 (Overall: 0) ================== ALL RELATIONS for per:employee_of ( 33 ) ================= Confidence: 0.99748 | Subject: Nadella | Object: Microsoft Confidence: 0.99736625 | Subject: Satya Narayana Nadella | Object: MicrosoftSpouse Confidence: 0.99724245 | Subject: Bukkapuram Nadella Yugandhar | Object: Indian Administrative Service Confidence: 0.99683493 | Subject: Steve Ballmer | Object: Microsoft Confidence: 0.99681926 | Subject: Satya Nadella | Object: Microsoft Confidence: 0.9967438 | Subject: Nadella | Object: the Online Services Division Confidence: 0.99674004 | Subject: Nadella | Object: GitHub Confidence: 0.9963959 | Subject: Nadella | Object: Major League Soccer Confidence: 0.9959998 | Subject: Bhushan | Object: MicrosoftSpouse Confidence: 0.99598545 | Subject: active1992 | Object: MicrosoftSpouse Confidence: 0.99557793 | Subject: John W. Thompson | Object: Microsoft Confidence: 0.9954308 | Subject: Melinda | Object: Gates Ventures Technology Confidence: 0.9954158 | Subject: Nadella | Object: Sun Microsystems Confidence: 0.9952609 | Subject: Nadella | Object: the Microsoft Business Division.[27] Confidence: 0.99348384 | Subject: Bill Gates | Object: Microsoft Confidence: 0.99260134 | Subject: Nadella | Object: the Server & Tools Division Confidence: 0.9924441 | Subject: Anupama | Object: Major League Soccer Confidence: 0.9920854 | Subject: Gates | Object: Gates Ventures Confidence: 0.9917772 | Subject: Gates | Object: BEN, Cascade Investment Confidence: 0.991435 | Subject: Gates | Object: Breakthrough Energy Confidence: 0.9911577 | Subject: Nadella | Object: Seattle Sounders FC Confidence: 0.98270506 | Subject: Gates | Object: TerraPower, Confidence: 0.98111755 | Subject: Sandra Jones | Object: Microsoft Corp. Confidence: 0.97878337 | Subject: Melinda | Object: Breakthrough Energy Confidence: 0.97438645 | Subject: Warren Buffett | Object: the Giving Pledge Confidence: 0.967694 | Subject: Nadella | Object: Platinum Confidence: 0.966364 | Subject: Nadella | Object: the Linux Foundation Confidence: 0.9289272 | Subject: Anupama | Object: Seattle Sounders FC Confidence: 0.897415 | Subject: Nadella | Object: the Government of India Confidence: 0.8871784 | Subject: Nadella | Object: Indian Administrative Service Confidence: 0.8866856 | Subject: Satya Nadella | Object: Microsoft Board Confidence: 0.8725702 | Subject: Satya NadellaNadella | Object: IndiaCitizenshipUnited States[1]Education Manipal Institute of Technology Confidence: 0.83554167 | Subject: Melinda | Object: TerraPower Total # of iterations = 2