Winy Maas
E930219
Winy Maas is a Dutch architect and urban planner, co-founder of the influential firm MVRDV, known for innovative, experimental approaches to dense city living and public space.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Winy Maas canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T11525703 — 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: Winy Maas Context triple: [Seoullo 7017, designedBy, Winy Maas]
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A.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
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B.
Hado van Hasselt
Hado van Hasselt is a researcher in reinforcement learning best known for pioneering methods such as Double Q-learning and Dueling DQN that address overestimation bias and improve deep RL performance.
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C.
Ton Roosendaal
Ton Roosendaal is a Dutch software developer and film producer best known as the founder and chairman of the Blender Foundation and the driving force behind the open-source 3D creation suite Blender.
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D.
Nic Vos
Nic Vos is a central character in the 2006 political thriller "Catch a Fire," depicted as a South African security officer entangled in the apartheid-era struggle against anti-government resistance.
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E.
Marius de Jonge
Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
- 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: Winy Maas Target entity description: Winy Maas is a Dutch architect and urban planner, co-founder of the influential firm MVRDV, known for innovative, experimental approaches to dense city living and public space.
-
A.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
-
B.
Hado van Hasselt
Hado van Hasselt is a researcher in reinforcement learning best known for pioneering methods such as Double Q-learning and Dueling DQN that address overestimation bias and improve deep RL performance.
-
C.
Ton Roosendaal
Ton Roosendaal is a Dutch software developer and film producer best known as the founder and chairman of the Blender Foundation and the driving force behind the open-source 3D creation suite Blender.
-
D.
Nic Vos
Nic Vos is a central character in the 2006 political thriller "Catch a Fire," depicted as a South African security officer entangled in the apartheid-era struggle against anti-government resistance.
-
E.
Marius de Jonge
Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
- F. None of above. chosen
Statements (49)
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: Winy Maas Description of subject: Winy Maas is a Dutch architect and urban planner, co-founder of the influential firm MVRDV, known for innovative, experimental approaches to dense city living and public space.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.