Walter-Ulrich Behrens
E412066
Walter-Ulrich Behrens was a German statistician known for his contributions to the development of small-sample statistical methods, including work related to what is now called the Behrens–Fisher problem.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Walter-Ulrich Behrens canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3982767 — 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.
Target entity: Walter-Ulrich Behrens Context triple: [Behrens, hasNotableBearer, Walter-Ulrich Behrens]
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A.
Erich Mendelsohn
Erich Mendelsohn was a pioneering German architect known for his expressive modernist and Art Deco designs, including influential works of the early 20th century.
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B.
Peter Behrens
Peter Behrens was a pioneering German architect and designer whose industrial, graphic, and architectural work helped shape early modernism and influenced figures like Le Corbusier, Gropius, and Mies van der Rohe.
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C.
Martin Gropius
Martin Gropius was a prominent 19th-century German architect known for his influential historicist designs, including the renowned Martin-Gropius-Bau in Berlin.
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D.
Hannes Meyer
Hannes Meyer was a Swiss architect and urban planner who served as the second director of the Bauhaus, known for his functionalist, socially oriented approach to design and architecture.
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E.
Ludwig Hilberseimer
Ludwig Hilberseimer was a German-American architect and urban planner known for his influential modernist theories on high-density housing and rational city planning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Walter-Ulrich Behrens Target entity description: Walter-Ulrich Behrens was a German statistician known for his contributions to the development of small-sample statistical methods, including work related to what is now called the Behrens–Fisher problem.
-
A.
Erich Mendelsohn
Erich Mendelsohn was a pioneering German architect known for his expressive modernist and Art Deco designs, including influential works of the early 20th century.
-
B.
Peter Behrens
Peter Behrens was a pioneering German architect and designer whose industrial, graphic, and architectural work helped shape early modernism and influenced figures like Le Corbusier, Gropius, and Mies van der Rohe.
-
C.
Martin Gropius
Martin Gropius was a prominent 19th-century German architect known for his influential historicist designs, including the renowned Martin-Gropius-Bau in Berlin.
-
D.
Hannes Meyer
Hannes Meyer was a Swiss architect and urban planner who served as the second director of the Bauhaus, known for his functionalist, socially oriented approach to design and architecture.
-
E.
Ludwig Hilberseimer
Ludwig Hilberseimer was a German-American architect and urban planner known for his influential modernist theories on high-density housing and rational city planning.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
German statistician
ⓘ
human ⓘ statistician ⓘ |
| areaOfActivity | probability and statistics ⓘ |
| contributedTo |
methods for comparing means with unequal variances
ⓘ
methods for inference with small samples ⓘ |
| countryOfCitizenship | Germany ⓘ |
| ethnicGroup | German ⓘ |
| fieldOfWork |
mathematical statistics
ⓘ
small-sample theory ⓘ statistics ⓘ |
| hasInfluenced | development of two-sample inference with unequal variances ⓘ |
| knownFor |
contributions to small-sample statistical methods
ⓘ
early work on the Behrens–Fisher problem ⓘ |
| languageOfWorkOrName | German ⓘ |
| nameInLatinAlphabet | Walter-Ulrich Behrens self-link ⓘ |
| notableConcept | Behrens–Fisher problem ⓘ |
| notableWork | Behrens–Fisher problem ⓘ |
| occupation | statistician ⓘ |
| sexOrGender | male ⓘ |
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.
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.
Subject: Walter-Ulrich Behrens Description of subject: Walter-Ulrich Behrens was a German statistician known for his contributions to the development of small-sample statistical methods, including work related to what is now called the Behrens–Fisher problem.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.