Jason Weston
E367290
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jason Weston canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3542932 — 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: Jason Weston Context triple: [Léon Bottou, coauthorWith, Jason Weston]
-
A.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
-
B.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Matthew Robbins
Matthew Robbins is an American screenwriter and filmmaker known for his work on genre films such as Crimson Peak, Dragonslayer, and collaborations with directors like Guillermo del Toro.
-
E.
Blake Worsley
Blake Worsley is a Canadian former competitive swimmer who specialized in freestyle events and represented Canada at international competitions, including the Olympic Games.
- 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: Jason Weston Target entity description: Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
-
A.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
-
B.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Matthew Robbins
Matthew Robbins is an American screenwriter and filmmaker known for his work on genre films such as Crimson Peak, Dragonslayer, and collaborations with directors like Guillermo del Toro.
-
E.
Blake Worsley
Blake Worsley is a Canadian former competitive swimmer who specialized in freestyle events and represented Canada at international competitions, including the Olympic Games.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
machine learning researcher ⓘ |
| coAuthorOf |
research papers on dialog systems
ⓘ
research papers on kernel methods ⓘ research papers on large-scale learning ⓘ research papers on metric learning ⓘ research papers on natural language processing ⓘ research papers on neural networks ⓘ research papers on question answering ⓘ |
| contributedTo |
development of dialog and conversational AI systems
ⓘ
development of large-scale learning algorithms ⓘ development of neural network models for NLP ⓘ development of question answering architectures ⓘ development of ranking and recommendation methods ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| educatedAt |
University of Paris
ⓘ
linked to:
Sorbonne University
École Normale Supérieure de Lyon ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ dialog systems ⓘ information retrieval ⓘ large-scale learning ⓘ machine learning ⓘ metric learning ⓘ natural language processing ⓘ neural networks ⓘ question answering ⓘ ranking algorithms ⓘ representation learning ⓘ structured prediction ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| hasEmployer |
AT&T Labs
ⓘ
linked to:
AT&T Labs – Research
Facebook AI Research ⓘ
linked to:
Meta AI
Google ⓘ Meta AI ⓘ NEC Laboratories America ⓘ
linked to:
NEC Research Institute
|
| hasRole |
research director
ⓘ
research scientist ⓘ team lead in AI research ⓘ |
| knownFor |
contributions to large-scale learning
ⓘ
contributions to natural language processing ⓘ contributions to neural networks ⓘ work on dialog and conversational agents ⓘ work on large-scale kernel methods ⓘ work on metric learning algorithms ⓘ work on question answering systems ⓘ work on ranking and recommendation ⓘ work on representation learning for text ⓘ |
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: Jason Weston Description of subject: Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.