Neha Kapur
E722718
Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Neha Kapur canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8268394 — 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: Neha Kapur Context triple: [Kunal Nayyar, spouse, Neha Kapur]
-
A.
Juhi Chawla
Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
-
B.
Riya Sen
Riya Sen is an Indian actress and model known for her work in Hindi, Bengali, and other regional films, as well as for her prominent presence in Indian popular culture and fashion.
-
C.
Seema Kapoor
Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
-
D.
Karisma Kapoor
Karisma Kapoor is an acclaimed Indian film actress best known for her leading roles in popular Hindi movies of the 1990s and early 2000s.
-
E.
Kajal Aggarwal
Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
- 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: Neha Kapur Target entity description: Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
-
A.
Juhi Chawla
Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
-
B.
Riya Sen
Riya Sen is an Indian actress and model known for her work in Hindi, Bengali, and other regional films, as well as for her prominent presence in Indian popular culture and fashion.
-
C.
Seema Kapoor
Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
-
D.
Karisma Kapoor
Karisma Kapoor is an acclaimed Indian film actress best known for her leading roles in popular Hindi movies of the 1990s and early 2000s.
-
E.
Kajal Aggarwal
Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
beauty queen
ⓘ
fashion entrepreneur ⓘ human ⓘ |
| countryOfCitizenship | India ⓘ |
| ethnicGroup | Indian ⓘ |
| fieldOfWork |
fashion industry
ⓘ
modeling ⓘ |
| gender | female ⓘ |
| hasActivity | fashion entrepreneurship ⓘ |
| hasFamilyName |
Kapur
ⓘ
linked to:
Kapoor (Kapur)
|
| hasGivenName | Neha ⓘ |
| languageSpoken |
English
ⓘ
Hindi ⓘ |
| notableFor | winning Miss India Universe 2006 ⓘ |
| notableRole | representing India at Miss Universe 2006 ⓘ |
| occupation |
entrepreneur
ⓘ
model ⓘ |
| participatedIn | Miss Universe 2006 ⓘ |
| residence | India ⓘ |
| titleHeld |
Miss India Universe 2006
ⓘ
linked to:
Femina Miss India
|
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: Neha Kapur Description of subject: Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.