Klaus Hasselmann
E183226
Klaus Hasselmann is a German oceanographer and climate scientist renowned for developing models that link climate variability to human activity, work that earned him a share of the 2021 Nobel Prize in Physics.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Klaus Hasselmann canonical | 8 |
| Hasselmann | 1 |
| Klaus Ferdinand Hasselmann | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1593920 — 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: Klaus Hasselmann Context triple: [Syukuro Manabe, coRecipientOfNobelPrizeInPhysics, Klaus Hasselmann]
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A.
Syukuro Manabe
Syukuro Manabe is a Japanese-American climatologist and meteorologist renowned as a pioneer of climate modeling and a co-recipient of the 2021 Nobel Prize in Physics for his work on quantifying the role of greenhouse gases in climate change.
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B.
Jule Gregory Charney
Jule Gregory Charney was a pioneering American meteorologist and mathematician who laid the foundations of modern numerical weather prediction and large-scale atmospheric dynamics.
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C.
Vilhelm Bjerknes
Vilhelm Bjerknes was a pioneering Norwegian physicist and meteorologist who laid the foundations of modern weather forecasting through his work on atmospheric dynamics and the Bergen School of Meteorology.
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D.
Jacob Bjerknes
Jacob Bjerknes was a Norwegian-American meteorologist and physicist renowned for his pioneering work on atmospheric circulation and for elucidating the mechanisms behind the El Niño–Southern Oscillation.
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E.
James Hansen
James Hansen is a prominent American climate scientist and former NASA researcher known for his early and influential warnings about global warming and advocacy for climate action.
- 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: Klaus Hasselmann Target entity description: Klaus Hasselmann is a German oceanographer and climate scientist renowned for developing models that link climate variability to human activity, work that earned him a share of the 2021 Nobel Prize in Physics.
-
A.
Syukuro Manabe
Syukuro Manabe is a Japanese-American climatologist and meteorologist renowned as a pioneer of climate modeling and a co-recipient of the 2021 Nobel Prize in Physics for his work on quantifying the role of greenhouse gases in climate change.
-
B.
Jule Gregory Charney
Jule Gregory Charney was a pioneering American meteorologist and mathematician who laid the foundations of modern numerical weather prediction and large-scale atmospheric dynamics.
-
C.
Vilhelm Bjerknes
Vilhelm Bjerknes was a pioneering Norwegian physicist and meteorologist who laid the foundations of modern weather forecasting through his work on atmospheric dynamics and the Bergen School of Meteorology.
-
D.
Jacob Bjerknes
Jacob Bjerknes was a Norwegian-American meteorologist and physicist renowned for his pioneering work on atmospheric circulation and for elucidating the mechanisms behind the El Niño–Southern Oscillation.
-
E.
James Hansen
James Hansen is a prominent American climate scientist and former NASA researcher known for his early and influential warnings about global warming and advocacy for climate action.
- F. None of above. chosen
Statements (52)
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: Klaus Hasselmann Description of subject: Klaus Hasselmann is a German oceanographer and climate scientist renowned for developing models that link climate variability to human activity, work that earned him a share of the 2021 Nobel Prize in Physics.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
American Meteorological Society Carl-Gustaf Rossby Research Medal
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notableRecipient
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Klaus Hasselmann
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linked to: Klaus Hasselmann
linked to: Klaus Hasselmann