Navi Rawat
E1032460
Navi Rawat is an American actress best known for her roles as math prodigy Amita Ramanujan on the television series "Numb3rs" and Theresa Diaz on "The O.C."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Navi Rawat canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T13258600 — 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: Navi Rawat Context triple: [Francis Capra, spouse, Navi Rawat]
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A.
Divya Narendra
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.
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B.
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."
-
C.
Shivani Rawat
Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
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D.
Veera Tripathi
Veera Tripathi is the young, rebellious protagonist of the Indian film "Highway," whose journey after a kidnapping leads to profound personal transformation and self-discovery.
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E.
Vayu Kapoor Ahuja
Vayu Kapoor Ahuja is the son of Indian actress Sonam Kapoor and businessman Anand Ahuja, known primarily as a celebrity child in Bollywood circles.
- 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: Navi Rawat Target entity description: Navi Rawat is an American actress best known for her roles as math prodigy Amita Ramanujan on the television series "Numb3rs" and Theresa Diaz on "The O.C."
-
A.
Divya Narendra
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.
-
B.
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."
-
C.
Shivani Rawat
Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
-
D.
Veera Tripathi
Veera Tripathi is the young, rebellious protagonist of the Indian film "Highway," whose journey after a kidnapping leads to profound personal transformation and self-discovery.
-
E.
Vayu Kapoor Ahuja
Vayu Kapoor Ahuja is the son of Indian actress Sonam Kapoor and businessman Anand Ahuja, known primarily as a celebrity child in Bollywood circles.
- F. None of above. chosen
Statements (48)
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: Navi Rawat Description of subject: Navi Rawat is an American actress best known for her roles as math prodigy Amita Ramanujan on the television series "Numb3rs" and Theresa Diaz on "The O.C."
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.