Vijay Vasudevan
E108003
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vijay Vasudevan canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T921653 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijay Vasudevan Context triple: [Christian Szegedy, coAuthor, Vijay Vasudevan]
-
A.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
B.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
-
C.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
D.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
-
E.
Shankar Sastry
Shankar Sastry is a prominent control theorist and engineer known for his influential contributions to control systems, robotics, and cyber-physical systems, as well as his leadership roles in academia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vijay Vasudevan Target entity description: Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
-
A.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
B.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
-
C.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
D.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
-
E.
Shankar Sastry
Shankar Sastry is a prominent control theorist and engineer known for his influential contributions to control systems, robotics, and cyber-physical systems, as well as his leadership roles in academia.
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf | computer scientist ⓘ |
| coAuthorWith | Christian Szegedy ⓘ |
| fieldOfWork |
machine learning
ⓘ
systems research ⓘ |
| hasFamilyName | Vasudevan ⓘ |
| hasGivenName | Vijay ⓘ |
| knownFor |
co-authoring influential machine learning papers
ⓘ
work in machine learning and systems research ⓘ |
| occupation | research scientist ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Vijay Vasudevan Description of subject: Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.