Divya Narendra
E864901
Divya Narendra is an American businessman and co-founder of the professional networking website SumZero, best known for his early involvement with the origins of Facebook.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Divya Narendra canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10364701 — 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: Divya Narendra Context triple: [Max Minghella, characterPlayed, Divya Narendra]
-
A.
Lillete Dubey
Lillete Dubey is an Indian actress and theatre director known for her work in both Bollywood and international films, as well as for founding the acclaimed Primetime Theatre Company.
-
B.
Sandhini Agarwal
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.
-
C.
Nagla Chandrabhan
Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
-
D.
Neetu Singh
Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
-
E.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
- 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: Divya Narendra Target entity description: Divya Narendra is an American businessman and co-founder of the professional networking website SumZero, best known for his early involvement with the origins of Facebook.
-
A.
Lillete Dubey
Lillete Dubey is an Indian actress and theatre director known for her work in both Bollywood and international films, as well as for founding the acclaimed Primetime Theatre Company.
-
B.
Sandhini Agarwal
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.
-
C.
Nagla Chandrabhan
Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
-
D.
Neetu Singh
Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
-
E.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
- F. None of above. chosen
Statements (36)
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: Divya Narendra Description of subject: Divya Narendra is an American businessman and co-founder of the professional networking website SumZero, best known for his early involvement with the origins of Facebook.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.