David Eigen
E761228
David Eigen is a computer scientist and researcher known for his contributions to deep learning and computer vision, including early work on convolutional neural networks for image understanding.
All labels observed (1)
| Label | Occurrences |
|---|---|
| David Eigen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8849387 — 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: David Eigen Context triple: [Pierre Sermanet, coAuthorWith, David Eigen]
-
A.
David Grae
David Grae is a television writer and producer best known for his work on political and legal drama series.
-
B.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
C.
Brian Eastman
Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
-
D.
David Eigenberg
David Eigenberg is an American actor best known for his role as Steve Brady in the Sex and the City franchise and as Christopher Herrmann on the television series Chicago Fire.
-
E.
Jacob Kasher Hindlin
Jacob Kasher Hindlin is an American songwriter and producer known for crafting hit pop songs for major artists across the contemporary music industry.
- 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: David Eigen Target entity description: David Eigen is a computer scientist and researcher known for his contributions to deep learning and computer vision, including early work on convolutional neural networks for image understanding.
-
A.
David Grae
David Grae is a television writer and producer best known for his work on political and legal drama series.
-
B.
Maty Siman
Maty Siman is a technology entrepreneur best known as the founder of the application security company Checkmarx.
-
C.
Brian Eastman
Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
-
D.
David Eigenberg
David Eigenberg is an American actor best known for his role as Steve Brady in the Sex and the City franchise and as Christopher Herrmann on the television series Chicago Fire.
-
E.
Jacob Kasher Hindlin
Jacob Kasher Hindlin is an American songwriter and producer known for crafting hit pop songs for major artists across the contemporary music industry.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| contributedTo |
development of CNN-based methods for depth estimation
ⓘ
development of CNN-based methods for image understanding ⓘ |
| fieldOfWork |
computer science
ⓘ
computer vision ⓘ deep learning ⓘ machine learning ⓘ |
| hasGivenTalkOn |
convolutional neural networks
ⓘ
deep learning for computer vision ⓘ |
| hasPublicationType |
conference papers
ⓘ
journal articles ⓘ preprints ⓘ |
| hasResearchInterest |
image understanding
ⓘ
neural networks ⓘ representation learning ⓘ visual perception ⓘ |
| knownFor |
research on depth estimation from a single image
ⓘ
research on multi-scale convolutional neural networks ⓘ |
| notableFor |
contributions to computer vision
ⓘ
contributions to deep learning ⓘ early work on convolutional neural networks for image understanding ⓘ |
| usesMethod |
convolutional neural networks
ⓘ
deep neural networks ⓘ supervised 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: David Eigen Description of subject: David Eigen is a computer scientist and researcher known for his contributions to deep learning and computer vision, including early work on convolutional neural networks for image understanding.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.