Geoffrey Hinton
E1872
Turing Award laureate
artificial intelligence researcher
cognitive psychologist
computer scientist
deep learning pioneer
Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Geoffrey Hinton canonical | 36 |
| Geoffrey E. Hinton | 4 |
| Geoffrey Everest Hinton | 1 |
| Hinton | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4580 — 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: Geoffrey Hinton Context triple: [Turing Award, hasNotableRecipient, Geoffrey Hinton]
-
A.
Yoshua Bengio
Yoshua Bengio is a Canadian computer scientist and deep learning pioneer whose work on neural networks and representation learning has been foundational to modern artificial intelligence.
-
B.
Claude Shannon
Claude Shannon was an American mathematician and electrical engineer known as the "father of information theory" for founding the mathematical framework underlying digital communication and data compression.
-
C.
J. C. R. Licklider
J. C. R. Licklider was an American psychologist and computer scientist whose visionary ideas about interactive computing and a globally networked system helped lay the conceptual foundations for the internet and modern human-computer interaction.
-
D.
Vannevar Bush
American electrical engineer and science administrator (1890~1974)
-
E.
Tim Berners-Lee
Tim Berners-Lee is a British computer scientist best known as the inventor of the World Wide Web.
- 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: Geoffrey Hinton Target entity description: Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
-
A.
Yoshua Bengio
Yoshua Bengio is a Canadian computer scientist and deep learning pioneer whose work on neural networks and representation learning has been foundational to modern artificial intelligence.
-
B.
Claude Shannon
Claude Shannon was an American mathematician and electrical engineer known as the "father of information theory" for founding the mathematical framework underlying digital communication and data compression.
-
C.
J. C. R. Licklider
J. C. R. Licklider was an American psychologist and computer scientist whose visionary ideas about interactive computing and a globally networked system helped lay the conceptual foundations for the internet and modern human-computer interaction.
-
D.
Vannevar Bush
American electrical engineer and science administrator (1890~1974)
-
E.
Tim Berners-Lee
Tim Berners-Lee is a British computer scientist best known as the inventor of the World Wide Web.
- F. None of above. chosen
Statements (59)
| Predicate | Object |
|---|---|
| instanceOf |
Turing Award laureate
ⓘ
artificial intelligence researcher ⓘ cognitive psychologist ⓘ computer scientist ⓘ deep learning pioneer ⓘ |
| academicPosition |
Emeritus Professor at University of Toronto
ⓘ
Professor at University of Toronto ⓘ |
| almaMater |
Cambridge University
ⓘ
surface form:
University of Cambridge
University of Edinburgh ⓘ |
| awardReceived |
BBVA Foundation Frontiers of Knowledge Award
ⓘ
Herbrand Award ⓘ IEEE James Clerk Maxwell Award ⓘ Killam Prize ⓘ Order of Canada ⓘ Turing Award ⓘ |
| birthDate | 1947-12-06 ⓘ |
| birthPlace | London, England ⓘ |
| citizenship |
Canada
ⓘ
United Kingdom ⓘ |
| coRecipientOf |
Turing Award
ⓘ
surface form:
2018 Turing Award
|
| coRecipientWith |
Yann LeCun
ⓘ
Yoshua Bengio ⓘ |
| degree |
BA in Experimental Psychology
ⓘ
PhD in Artificial Intelligence ⓘ |
| doctoralAdvisor | Christopher Longuet-Higgins ⓘ |
| employer |
Google
ⓘ
Google Brain ⓘ University of Toronto ⓘ Vector Institute for Artificial Intelligence ⓘ |
| familyName |
Geoffrey Hinton
self-linksurface differs
ⓘ
surface form:
Hinton
|
| fieldOfWork |
artificial intelligence
ⓘ
cognitive science ⓘ deep learning ⓘ machine learning ⓘ |
| fullName |
Geoffrey Hinton
self-linksurface differs
ⓘ
surface form:
Geoffrey Everest Hinton
|
| givenName | Geoffrey ⓘ |
| hasConcern | risks of advanced artificial intelligence ⓘ |
| hasSpokenAbout |
existential risks from AI
ⓘ
regulation of AI technologies ⓘ |
| knownFor |
Boltzmann machines
ⓘ
backpropagation in neural networks ⓘ contributions to computer vision using deep learning ⓘ contributions to speech recognition using deep learning ⓘ Boltzmann machines ⓘ
surface form:
deep belief networks
deep learning ⓘ Boltzmann machines ⓘ
surface form:
restricted Boltzmann machines
|
| memberOf |
Royal Society
ⓘ
Royal Society of Canada Fellowship ⓘ
surface form:
Royal Society of Canada
|
| notableStudent |
Ilya Sutskever
ⓘ
Ruslan Salakhutdinov ⓘ Yoshua Bengio ⓘ |
| notableWork |
“A fast learning algorithm for deep belief nets”
ⓘ
“Learning representations by back-propagating errors” ⓘ |
| position |
Chief Scientific Advisor at Vector Institute
ⓘ
Vice President and Engineering Fellow at Google ⓘ |
| researchInterest |
distributed representations
ⓘ
neural networks ⓘ representation learning ⓘ unsupervised learning ⓘ |
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: Geoffrey Hinton Description of subject: Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
Referenced by (42)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Geoffrey Everest Hinton
this entity surface form:
Hinton
subject surface form:
Yoshua Bengio
subject surface form:
A fast learning algorithm for deep belief nets
this entity surface form:
Geoffrey E. Hinton
subject surface form:
Learning representations by back-propagating errors
this entity surface form:
Geoffrey E. Hinton
subject surface form:
Yann LeCun
Princess of Asturias Award for Technical and Scientific Research
→
hasNotableLaureates
→
Geoffrey Hinton
ⓘ
this entity surface form:
Geoffrey E. Hinton
this entity surface form:
Geoffrey E. Hinton