Peter Welinder
E444208
Peter Welinder is a computer scientist and entrepreneur known for his contributions to deep reinforcement learning and for co-authoring the Hindsight Experience Replay technique.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Peter Welinder canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4470527 — 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: Peter Welinder Context triple: [Hindsight Experience Replay, proposedBy, Peter Welinder]
-
A.
Peter Noorwits
Peter Noorwits was a Dutch architect known for his work on prominent ecclesiastical buildings in the Netherlands, including the Nieuwe Kerk in The Hague.
-
B.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
C.
Peter Roeck
Peter Roeck is a film editor known for his work on the movie "The Take."
-
D.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
E.
Jean van Duren
Jean van Duren was an 18th-century publisher known for issuing the political treatise "Anti-Machiavel," often associated with Frederick the Great.
- 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: Peter Welinder Target entity description: Peter Welinder is a computer scientist and entrepreneur known for his contributions to deep reinforcement learning and for co-authoring the Hindsight Experience Replay technique.
-
A.
Peter Noorwits
Peter Noorwits was a Dutch architect known for his work on prominent ecclesiastical buildings in the Netherlands, including the Nieuwe Kerk in The Hague.
-
B.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
C.
Peter Roeck
Peter Roeck is a film editor known for his work on the movie "The Take."
-
D.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
E.
Jean van Duren
Jean van Duren was an 18th-century publisher known for issuing the political treatise "Anti-Machiavel," often associated with Frederick the Great.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
entrepreneur ⓘ person ⓘ |
| coAuthorOf | Hindsight Experience Replay NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ machine learning ⓘ reinforcement learning ⓘ |
| hasGivenTalkOn |
Hindsight Experience Replay
NERFINISHED
ⓘ
deep reinforcement learning ⓘ |
| hasRole |
researcher in artificial intelligence
ⓘ
technology entrepreneur ⓘ |
| knownFor |
Hindsight Experience Replay
NERFINISHED
ⓘ
deep reinforcement learning ⓘ |
| notableWork | Hindsight Experience Replay in deep reinforcement learning NERFINISHED ⓘ |
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: Peter Welinder Description of subject: Peter Welinder is a computer scientist and entrepreneur known for his contributions to deep reinforcement learning and for co-authoring the Hindsight Experience Replay technique.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.