Nihar Nilekani
E1020187
Nihar Nilekani is the son of Indian entrepreneur and Infosys co-founder Nandan Nilekani.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nihar Nilekani canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T13061716 — 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: Nihar Nilekani Context triple: [Nandan Nilekani, child, Nihar Nilekani]
-
A.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
-
B.
Vas Narasimhan
Vas Narasimhan is an American physician-executive known for leading major strategic and innovation-driven transformations in the global pharmaceutical industry.
-
C.
Rohini Nilekani
Rohini Nilekani is an Indian philanthropist, author, and social activist known for founding and supporting several major initiatives in education, water, and civic engagement.
-
D.
Abhijit Vinayak Banerjee
Abhijit Vinayak Banerjee is an Indian-American economist and Nobel laureate renowned for his experimental approach to alleviating global poverty.
-
E.
Nandan Nilekani
Nandan Nilekani is an Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI), where he led the Aadhaar digital identity project.
- 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: Nihar Nilekani Target entity description: Nihar Nilekani is the son of Indian entrepreneur and Infosys co-founder Nandan Nilekani.
-
A.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
-
B.
Vas Narasimhan
Vas Narasimhan is an American physician-executive known for leading major strategic and innovation-driven transformations in the global pharmaceutical industry.
-
C.
Rohini Nilekani
Rohini Nilekani is an Indian philanthropist, author, and social activist known for founding and supporting several major initiatives in education, water, and civic engagement.
-
D.
Abhijit Vinayak Banerjee
Abhijit Vinayak Banerjee is an Indian-American economist and Nobel laureate renowned for his experimental approach to alleviating global poverty.
-
E.
Nandan Nilekani
Nandan Nilekani is an Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI), where he led the Aadhaar digital identity project.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
human ⓘ human ⓘ |
| child |
Nihar Nilekani
ⓘ
Nihar Nilekani ⓘ |
| countryOfCitizenship |
India
ⓘ
India ⓘ India ⓘ |
| father | Nandan Nilekani ⓘ |
| mother | Rohini Nilekani ⓘ |
| notableWork | Infosys ⓘ |
| occupation |
business executive
ⓘ
entrepreneur ⓘ philanthropist ⓘ |
| positionHeld | co-founder of Infosys ⓘ |
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: Nihar Nilekani Description of subject: Nihar Nilekani is the son of Indian entrepreneur and Infosys co-founder Nandan Nilekani.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Nandan Nilekani – Non-executive Chairman
subject linked to:
Nihar Nilekani
subject linked to:
Nihar Nilekani