Terézia Mora
E55110
Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Terézia Mora canonical | 12 |
How this entity was disambiguated
This entity first appeared as the object of triple T415764 — 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: Terézia Mora Context triple: [Adelbert von Chamisso Prize, notableRecipient, Terézia Mora]
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A.
Dana Vávrová
Dana Vávrová was a Czech-born German actress and film director known for her acclaimed performances in European cinema and collaborations with director Joseph Vilsmaier.
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B.
Ivana Marie Zelníčková
Ivana Marie Zelníčková, better known as Ivana Trump, was a Czech-American businesswoman, former model, and the first wife of Donald Trump, noted for her role in his early real estate empire and her own fashion and lifestyle ventures.
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C.
Ruzena Bajcsy
Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
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D.
Gunta Stölzl
Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
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E.
Marie Krackowizer
Marie Krackowizer was the wife of pioneering anthropologist Franz Boas and a supportive partner in his academic and intellectual life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Terézia Mora Target entity description: Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
-
A.
Dana Vávrová
Dana Vávrová was a Czech-born German actress and film director known for her acclaimed performances in European cinema and collaborations with director Joseph Vilsmaier.
-
B.
Ivana Marie Zelníčková
Ivana Marie Zelníčková, better known as Ivana Trump, was a Czech-American businesswoman, former model, and the first wife of Donald Trump, noted for her role in his early real estate empire and her own fashion and lifestyle ventures.
-
C.
Ruzena Bajcsy
Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
-
D.
Gunta Stölzl
Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
-
E.
Marie Krackowizer
Marie Krackowizer was the wife of pioneering anthropologist Franz Boas and a supportive partner in his academic and intellectual life.
- F. None of above. chosen
Statements (47)
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: Terézia Mora Description of subject: Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.