Yann
E26462
Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Yann canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T143830 — 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: Yann Context triple: [Yann LeCun, givenName, Yann]
-
A.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
-
B.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
C.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
D.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
E.
Bernard
Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
- 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: Yann Target entity description: Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
-
A.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
-
B.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
C.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
D.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
E.
Bernard
Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
engineer ⓘ person ⓘ researcher ⓘ |
| awardReceived |
IEEE Neural Networks Pioneer Award
ⓘ
Légion d'honneur ⓘ Milner Award and Lecture ⓘ
surface form:
Royal Society Milner Award
Turing Award ⓘ |
| birthName |
Yann LeCun
ⓘ
surface form:
Yann André LeCun
|
| birthPlace | Soisy-sous-Montmorency, France ⓘ |
| citizenship |
France
ⓘ
United States of America ⓘ |
| coinedTerm | self-supervised learning (in modern ML sense) ⓘ |
| doctoralAdvisor | Maurice Milgram ⓘ |
| educatedAt |
ESIEE Paris
ⓘ
Université Paris Cité ⓘ
surface form:
Université Pierre et Marie Curie
|
| employer |
Meta Platforms, Inc.
ⓘ
surface form:
Meta Platforms
New York University ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computer science ⓘ computer vision ⓘ deep learning ⓘ machine learning ⓘ |
| givenName | Yann self-linksurface differs ⓘ |
| hasFamilyName |
Yann LeCun
ⓘ
surface form:
LeCun
|
| hasGivenName | Yann self-linksurface differs ⓘ |
| hasWorkedAt |
Bell Telephone Laboratories
ⓘ
surface form:
AT&T Bell Labs
Meta AI ⓘ
surface form:
Facebook AI Research
NEC Research Institute ⓘ |
| knownFor |
LeNet
ⓘ
backpropagation in convolutional networks ⓘ convolutional neural networks ⓘ deep learning ⓘ handwritten digit recognition ⓘ work on gradient-based learning ⓘ |
| memberOf |
Académie des Sciences
ⓘ
surface form:
French Academy of Sciences
National Academy of Engineering ⓘ
surface form:
US National Academy of Engineering
|
| nationality |
American
ⓘ
French ⓘ |
| positionHeld |
Chief AI Scientist at Meta
ⓘ
Professor at New York University ⓘ |
| researchInterest |
energy-based models
ⓘ
representation learning ⓘ self-supervised learning ⓘ |
| sharesTuringAwardWith |
Geoffrey Hinton
ⓘ
Yoshua Bengio ⓘ |
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: Yann Description of subject: Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Yann LeCun