Dileep Rao
E180067
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dileep Rao canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T1223583 — 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: Dileep Rao Context triple: [Inception, starring, Dileep Rao]
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A.
Sanjay Reddy
Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
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B.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
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C.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
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D.
Sanjay Kallapur
Sanjay Kallapur is an Indian economist and academic known for his contributions to accounting and finance research and his association with leading institutions such as the Delhi School of Economics.
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E.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
- 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: Dileep Rao Target entity description: Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
A.
Sanjay Reddy
Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
-
B.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
-
C.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
D.
Sanjay Kallapur
Sanjay Kallapur is an Indian economist and academic known for his contributions to accounting and finance research and his association with leading institutions such as the Delhi School of Economics.
-
E.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
- F. None of above. chosen
Statements (49)
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: Dileep Rao Description of subject: Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.