Mehar Sethi
E251785
Mehar Sethi is an American screenwriter and producer known for his work on television series such as "BoJack Horseman" and "It’s Always Sunny in Philadelphia."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mehar Sethi canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2263198 — 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: Mehar Sethi Context triple: [Mamie Gummer, spouse, Mehar Sethi]
-
A.
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.
-
B.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
C.
Shivani Ghai
Shivani Ghai is a British actress known for her work in television, film, and theatre, including roles in series such as "EastEnders" and "Dominion."
-
D.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
E.
Loveleen Tandan
Loveleen Tandan is an Indian film director and casting director best known for her co-directing work on the Academy Award–winning film "Slumdog Millionaire."
- 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: Mehar Sethi Target entity description: Mehar Sethi is an American screenwriter and producer known for his work on television series such as "BoJack Horseman" and "It’s Always Sunny in Philadelphia."
-
A.
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.
-
B.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
C.
Shivani Ghai
Shivani Ghai is a British actress known for her work in television, film, and theatre, including roles in series such as "EastEnders" and "Dominion."
-
D.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
E.
Loveleen Tandan
Loveleen Tandan is an Indian film director and casting director best known for her co-directing work on the Academy Award–winning film "Slumdog Millionaire."
- F. None of above. chosen
Statements (22)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
screenwriter ⓘ television producer ⓘ television series ⓘ television series ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| fieldOfWork |
screenwriting
ⓘ
television ⓘ television production ⓘ |
| genre |
adult animated comedy-drama
ⓘ
sitcom ⓘ television comedy ⓘ |
| knownFor |
producing television series
ⓘ
writing for television ⓘ |
| languageOfWorkOrName | English ⓘ |
| nationality | American ⓘ |
| notableWork |
BoJack Horseman
ⓘ
It's Always Sunny in Philadelphia ⓘ
surface form:
It’s Always Sunny in Philadelphia
|
| occupation |
screenwriter
ⓘ
television producer ⓘ |
| workOn |
BoJack Horseman
ⓘ
It's Always Sunny in Philadelphia ⓘ
surface form:
It’s Always Sunny in Philadelphia
|
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: Mehar Sethi Description of subject: Mehar Sethi is an American screenwriter and producer known for his work on television series such as "BoJack Horseman" and "It’s Always Sunny in Philadelphia."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.