Alexei Efros
E64553
Alexei Efros is a prominent computer scientist known for his influential work in computer vision and computational photography.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Alexei A. Efros | 5 |
| Alexei Efros canonical | 2 |
| Mel Efros | 1 |
| Serge Belongie | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T516117 — 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: Alexei Efros Context triple: [ACM Prize in Computing, notableRecipient, Alexei Efros]
-
A.
Ruslan Salakhutdinov
Ruslan Salakhutdinov is a prominent machine learning researcher known for his contributions to deep learning and probabilistic graphical models, and for serving as Director of AI Research at Apple and a professor at Carnegie Mellon University.
-
B.
Christian Szegedy
Christian Szegedy is a computer scientist and AI researcher known for his influential work on deep learning and convolutional neural networks, including contributions to the Inception architecture.
-
C.
Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
-
D.
Ian Goodfellow
Ian Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and co-authoring the influential textbook "Deep Learning."
-
E.
Pavel Postyshev
Pavel Postyshev was a Soviet Communist Party official and Stalin loyalist notorious for his leading role in enforcing brutal policies in Ukraine during the early 1930s, including those associated with the Holodomor.
- 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: Alexei Efros Target entity description: Alexei Efros is a prominent computer scientist known for his influential work in computer vision and computational photography.
-
A.
Ruslan Salakhutdinov
Ruslan Salakhutdinov is a prominent machine learning researcher known for his contributions to deep learning and probabilistic graphical models, and for serving as Director of AI Research at Apple and a professor at Carnegie Mellon University.
-
B.
Christian Szegedy
Christian Szegedy is a computer scientist and AI researcher known for his influential work on deep learning and convolutional neural networks, including contributions to the Inception architecture.
-
C.
Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
-
D.
Ian Goodfellow
Ian Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and co-authoring the influential textbook "Deep Learning."
-
E.
Pavel Postyshev
Pavel Postyshev was a Soviet Communist Party official and Stalin loyalist notorious for his leading role in enforcing brutal policies in Ukraine during the early 1930s, including those associated with the Holodomor.
- F. None of above. chosen
Statements (45)
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: Alexei Efros Description of subject: Alexei Efros is a prominent computer scientist known for his influential work in computer vision and computational photography.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Mel Efros
this entity surface form:
Alexei A. Efros
this entity surface form:
Serge Belongie
this entity surface form:
Alexei A. Efros
this entity surface form:
Alexei A. Efros
this entity surface form:
Alexei A. Efros
this entity surface form:
Alexei A. Efros