Pierre Sermanet
E210596
Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pierre Sermanet canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T921659 — 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: Pierre Sermanet Context triple: [Christian Szegedy, coAuthor, Pierre Sermanet]
-
A.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
-
B.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
-
C.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
D.
Jean-Arnaud Raymond
Jean-Arnaud Raymond was a French neoclassical architect active in the late 18th and early 19th centuries, known for his influential designs and contributions to monumental Parisian architecture.
-
E.
Jean-François Soitoux
Jean-François Soitoux was a 19th-century French sculptor known for his academic style and for mentoring artists such as Frédéric Auguste Bartholdi.
- 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: Pierre Sermanet Target entity description: Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
-
A.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
-
B.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
-
C.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
D.
Jean-Arnaud Raymond
Jean-Arnaud Raymond was a French neoclassical architect active in the late 18th and early 19th centuries, known for his influential designs and contributions to monumental Parisian architecture.
-
E.
Jean-François Soitoux
Jean-François Soitoux was a 19th-century French sculptor known for his academic style and for mentoring artists such as Frédéric Auguste Bartholdi.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
person ⓘ researcher ⓘ |
| coAuthorWith |
Andrew Rabinovich
ⓘ
Christian Szegedy ⓘ David Eigen ⓘ Ilya Goodfellow ⓘ Jonathon Shlens ⓘ Koray Kavukcuoglu ⓘ Rob Fergus ⓘ Scott Reed ⓘ Sergey Ioffe ⓘ Soumith Chintala ⓘ Yann LeCun ⓘ Zbigniew Wojna ⓘ |
| countryOfCitizenship | France ⓘ |
| doctoralAdvisor | Yann LeCun ⓘ |
| educatedAt |
New York University
ⓘ
École Polytechnique ⓘ |
| employer |
Google
ⓘ
DeepMind ⓘ
surface form:
Google DeepMind
|
| fieldOfWork |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ |
| hasPublicationType |
arXiv preprints
ⓘ
conference papers ⓘ journal articles ⓘ |
| hasResearchInterest |
autonomous driving perception
ⓘ
end-to-end learning ⓘ representation learning ⓘ robot perception ⓘ visual recognition ⓘ |
| hasRole |
machine learning researcher
ⓘ
research scientist ⓘ |
| knownFor |
convolutional neural networks
ⓘ
deep learning for vision ⓘ image recognition research ⓘ object detection research ⓘ |
| languageSpoken |
English
ⓘ
French ⓘ |
| notableWork |
research on convolutional neural networks at DeepMind
ⓘ
research on convolutional neural networks at Google ⓘ |
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: Pierre Sermanet Description of subject: Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.