Aidan N. Gomez
E457856
Aidan N. Gomez 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 (1)
| Label | Occurrences |
|---|---|
| Aidan N. Gomez canonical | 10 |
How this entity was disambiguated
This entity first appeared as the object of triple T4651101 — 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: Aidan N. Gomez Context triple: [Transformer, introducedBy, Aidan N. Gomez]
-
A.
Alec Mazo
Alec Mazo is a professional ballroom dancer and choreographer best known for his appearances and championship win on the U.S. television show Dancing with the Stars.
-
B.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
C.
Adrian Pennino
Adrian Pennino is a shy pet shop worker who becomes Rocky Balboa’s devoted wife and emotional anchor in the Rocky film series.
-
D.
David J. Guzmán
David J. Guzmán was a prominent Salvadoran physician, scientist, and intellectual whose contributions to national culture and education led to El Salvador’s National Museum of Anthropology being named in his honor.
-
E.
Joel Ventresca
Joel Ventresca is a San Francisco-based political figure and longtime city employee known for his progressive activism and multiple campaigns for mayor.
- 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: Aidan N. Gomez Target entity description: Aidan N. Gomez 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.
Alec Mazo
Alec Mazo is a professional ballroom dancer and choreographer best known for his appearances and championship win on the U.S. television show Dancing with the Stars.
-
B.
Andrew Miano
Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
-
C.
Adrian Pennino
Adrian Pennino is a shy pet shop worker who becomes Rocky Balboa’s devoted wife and emotional anchor in the Rocky film series.
-
D.
David J. Guzmán
David J. Guzmán was a prominent Salvadoran physician, scientist, and intellectual whose contributions to national culture and education led to El Salvador’s National Museum of Anthropology being named in his honor.
-
E.
Joel Ventresca
Joel Ventresca is a San Francisco-based political figure and longtime city employee known for his progressive activism and multiple campaigns for mayor.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
entrepreneur ⓘ researcher ⓘ |
| coAuthorOf | Attention Is All You Need ⓘ |
| coFounded | Cohere ⓘ |
| coFoundedBy | Aidan N. Gomez ⓘ |
| collaboratedWith |
Ashish Vaswani
ⓘ
Illia Polosukhin ⓘ Jakob Uszkoreit ⓘ Llion Jones ⓘ Niki Parmar ⓘ Noam Shazeer ⓘ Łukasz Kaiser ⓘ
linked to:
Lukasz Kaiser
|
| contributedTo |
Transformer architecture
ⓘ
neural sequence modeling ⓘ |
| countryOfCitizenship | Canada ⓘ |
| educatedAt | University of Toronto ⓘ |
| employer | Cohere ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ machine learning ⓘ |
| focusesOn | large language models ⓘ |
| formerEmployer | Google ⓘ |
| hasAuthor | Aidan N. Gomez ⓘ |
| hasRole |
CEO
ⓘ
author ⓘ co-founder ⓘ |
| industry | artificial intelligence ⓘ |
| influenced | development of generative AI systems ⓘ |
| introduced | Transformer architecture ⓘ |
| knownFor |
co-authoring the Transformer architecture paper
ⓘ
work on Transformer models ⓘ |
| name | Aidan N. Gomez ⓘ |
| notableFor | influencing modern large language model design ⓘ |
| notableWork | Attention Is All You Need ⓘ |
| positionHeld | CEO of Cohere ⓘ |
| publicationYearOfNotableWork | 2017 ⓘ |
| researchInterest |
large language models
ⓘ
natural language processing ⓘ representation learning ⓘ |
| studiedUnder | Geoffrey Hinton ⓘ |
| worksIn |
AI industry
ⓘ
technology industry ⓘ |
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: Aidan N. Gomez Description of subject: Aidan N. Gomez 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.
subject linked to:
Lukasz Kaiser
subject linked to:
Aidan N. Gomez
subject linked to:
Aidan N. Gomez