Manisha Koirala
E849858
Manisha Koirala is a renowned Nepali-Indian actress acclaimed for her powerful performances in Hindi cinema, particularly in critically acclaimed films of the 1990s and early 2000s.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Manisha Koirala canonical | 13 |
How this entity was disambiguated
This entity first appeared as the object of triple T10212871 — 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: Manisha Koirala Context triple: [Dil Se.., starring, Manisha Koirala]
-
A.
Raima Sen
Raima Sen is an Indian film and television actress known for her work in Bengali and Hindi cinema and for being part of the prominent Sen acting family.
-
B.
Rani Mukerji
Rani Mukerji is an acclaimed Indian film actress known for her versatile performances in numerous successful Hindi movies since the late 1990s.
-
C.
Juhi Chawla
Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
-
D.
Priya Basu
Priya Basu is an economist and development finance expert known for her work on financial inclusion and policy at institutions such as the World Bank.
-
E.
Nandana Sen
Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
- 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: Manisha Koirala Target entity description: Manisha Koirala is a renowned Nepali-Indian actress acclaimed for her powerful performances in Hindi cinema, particularly in critically acclaimed films of the 1990s and early 2000s.
-
A.
Raima Sen
Raima Sen is an Indian film and television actress known for her work in Bengali and Hindi cinema and for being part of the prominent Sen acting family.
-
B.
Rani Mukerji
Rani Mukerji is an acclaimed Indian film actress known for her versatile performances in numerous successful Hindi movies since the late 1990s.
-
C.
Juhi Chawla
Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
-
D.
Priya Basu
Priya Basu is an economist and development finance expert known for her work on financial inclusion and policy at institutions such as the World Bank.
-
E.
Nandana Sen
Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
- F. None of above. chosen
Statements (51)
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: Manisha Koirala Description of subject: Manisha Koirala is a renowned Nepali-Indian actress acclaimed for her powerful performances in Hindi cinema, particularly in critically acclaimed films of the 1990s and early 2000s.
Referenced by (13)
Full triples — surface form annotated when it differs from this entity's canonical label.