Dominik Grewe
E805186
Dominik Grewe is a computer scientist and researcher known for his contributions to deep reinforcement learning and AI systems, including work on AlphaGo Zero.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dominik Grewe canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9500702 — 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: Dominik Grewe Context triple: [AlphaGo Zero, hasAuthor, Dominik Grewe]
-
A.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
B.
Markus Vogt
Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
-
C.
Florian Ceynowa
Florian Ceynowa was a 19th-century Kashubian activist, writer, and folklorist regarded as a pioneer of Kashubian national revival and literature.
-
D.
Matthias Kleinheisterkamp
Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
-
E.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
- 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: Dominik Grewe Target entity description: Dominik Grewe is a computer scientist and researcher known for his contributions to deep reinforcement learning and AI systems, including work on AlphaGo Zero.
-
A.
Philipp Demandt
Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
-
B.
Markus Vogt
Markus Vogt is an architect known for his work on the design of the Bundesplatz in Switzerland.
-
C.
Florian Ceynowa
Florian Ceynowa was a 19th-century Kashubian activist, writer, and folklorist regarded as a pioneer of Kashubian national revival and literature.
-
D.
Matthias Kleinheisterkamp
Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
-
E.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| affiliation | Google DeepMind NERFINISHED ⓘ |
| educatedAt | Imperial College London NERFINISHED ⓘ |
| employer | Google DeepMind NERFINISHED ⓘ |
| fieldOfStudy |
computer engineering
ⓘ
computing ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computer science ⓘ deep reinforcement learning ⓘ machine learning ⓘ |
| hasAcademicDegree | PhD in Computing ⓘ |
| hasPublicationType |
conference papers
ⓘ
journal articles ⓘ workshop papers ⓘ |
| hasRole |
research scientist
ⓘ
software engineer ⓘ |
| knownFor |
AI systems research
ⓘ
deep reinforcement learning research ⓘ work related to AlphaGo Zero ⓘ |
| languageSpoken |
English
ⓘ
German ⓘ |
| nationality | German ⓘ |
| researchInterest |
GPU computing
ⓘ
code generation ⓘ compiler optimizations ⓘ heterogeneous computing ⓘ parallel computing ⓘ |
| thesisInstitution | Imperial College London NERFINISHED ⓘ |
| thesisSupervisor | Paul H. J. Kelly NERFINISHED ⓘ |
| thesisTitle | Portable and Efficient Code Generation for Heterogeneous Systems NERFINISHED ⓘ |
| workLocation |
London, England
ⓘ
surface form:
London
|
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: Dominik Grewe Description of subject: Dominik Grewe is a computer scientist and researcher known for his contributions to deep reinforcement learning and AI systems, including work on AlphaGo Zero.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.