Sandhini Agarwal
E437213
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sandhini Agarwal canonical | 8 |
How this entity was disambiguated
This entity first appeared as the object of triple T4424870 — 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: Sandhini Agarwal Context triple: [CLIP, introducedBy, Sandhini Agarwal]
-
A.
Reena Dutta
Reena Dutta is an Indian film producer and former airline employee best known as the first wife of Bollywood actor Aamir Khan and for her involvement in the production of the acclaimed film "Lagaan."
-
B.
Jyoti Bansal
Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
-
C.
Mohini Bhardwaj
Mohini Bhardwaj is an American artistic gymnast best known as a 2004 Olympic silver medalist and standout collegiate competitor for UCLA.
-
D.
Priya Mangal
Priya Mangal is a laid-back, deadpan, and loyal member of Mei Lee’s friend group in Pixar’s animated film "Turning Red."
-
E.
Sheila Dikshit
Sheila Dikshit was a prominent Indian National Congress politician who served as the long-time Chief Minister of Delhi, overseeing significant urban development and governance reforms in the capital.
- 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: Sandhini Agarwal Target entity description: Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
A.
Reena Dutta
Reena Dutta is an Indian film producer and former airline employee best known as the first wife of Bollywood actor Aamir Khan and for her involvement in the production of the acclaimed film "Lagaan."
-
B.
Jyoti Bansal
Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
-
C.
Mohini Bhardwaj
Mohini Bhardwaj is an American artistic gymnast best known as a 2004 Olympic silver medalist and standout collegiate competitor for UCLA.
-
D.
Priya Mangal
Priya Mangal is a laid-back, deadpan, and loyal member of Mei Lee’s friend group in Pixar’s animated film "Turning Red."
-
E.
Sheila Dikshit
Sheila Dikshit was a prominent Indian National Congress politician who served as the long-time Chief Minister of Delhi, overseeing significant urban development and governance reforms in the capital.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
AI researcher
ⓘ
person ⓘ |
| affiliation | OpenAI ⓘ |
| contributedTo |
deployment practices for large-scale models at OpenAI
ⓘ
development of CLIP ⓘ |
| employer | OpenAI ⓘ |
| employerFocus |
artificial general intelligence research
ⓘ
large-scale neural networks ⓘ |
| fieldOfWork |
AI policy
ⓘ
AI safety ⓘ artificial intelligence ⓘ machine learning ⓘ |
| hasGender | female ⓘ |
| knownFor |
work on AI policy at OpenAI
ⓘ
work on AI safety at OpenAI ⓘ work on CLIP model development ⓘ work on large-scale AI models ⓘ |
| languageSpoken | English ⓘ |
| notableWork | CLIP ⓘ |
| organizationTypeOfEmployer | AI research lab ⓘ |
| researchInterest |
AI governance and policy
ⓘ
alignment of large language models ⓘ responsible AI deployment ⓘ safety of large-scale AI systems ⓘ |
| workLocation | San Francisco (inferred from OpenAI headquarters) ⓘ |
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: Sandhini Agarwal Description of subject: Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.