Niki Parmar
E457853
Niki Parmar is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Niki Parmar canonical | 9 |
| Niki Parmar is co-founder of Adept AI | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4651098 — 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: Niki Parmar Context triple: [Transformer, introducedBy, Niki Parmar]
-
A.
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."
-
B.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
-
C.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
-
D.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
E.
Salma Lakhani
Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
- 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: Niki Parmar Target entity description: Niki Parmar is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
-
A.
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."
-
B.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
-
C.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
-
D.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
E.
Salma Lakhani
Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ researcher ⓘ |
| coAuthorOf |
"Attention Is All You Need"
ⓘ
linked to:
Attention Is All You Need
|
| coAuthorWith |
Aidan N. Gomez
ⓘ
Ashish Vaswani ⓘ Illia Polosukhin ⓘ Llion Jones ⓘ Niki Uszkoreit ⓘ
linked to:
Jakob Uszkoreit
Noam Shazeer ⓘ Łukasz Kaiser ⓘ
linked to:
Lukasz Kaiser
|
| contributedTo |
Transformer architecture
ⓘ
self-attention mechanisms in neural networks ⓘ |
| educatedAt |
Indian Institute of Technology
ⓘ
linked to:
Indian Institutes of Technology
University of Toronto ⓘ |
| fieldOfWork |
deep learning
ⓘ
machine learning ⓘ natural language processing ⓘ neural networks ⓘ |
| hasAuthor | Niki Parmar ⓘ |
| hasCitationCountOver | 100000 for "Attention Is All You Need" (approximate, order of magnitude) ⓘ |
| hasCitizenship | India ⓘ |
| hasEmployer |
Google
ⓘ
Google Brain ⓘ |
| hasGender | female ⓘ |
| hasRole |
author
ⓘ
scientist ⓘ |
| influenced |
advances in NLP architectures after 2017
ⓘ
development of modern large language models ⓘ |
| introduced | Transformer architecture ⓘ |
| knownFor |
co-authoring the paper "Attention Is All You Need"
ⓘ
contributions to the Transformer architecture ⓘ |
| notableWork |
"Attention Is All You Need"
ⓘ
linked to:
Attention Is All You Need
|
| publishedIn | 2017 ⓘ |
| researchInterest |
attention mechanisms
ⓘ
large-scale neural networks ⓘ sequence modeling ⓘ |
| worksIn |
artificial intelligence
ⓘ
computer science ⓘ |
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: Niki Parmar Description of subject: Niki Parmar is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.