Věra Davidová
E455482
Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Věra Davidová canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T4588872 — 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: Věra Davidová Context triple: [Ottla Kafka, child, Věra Davidová]
-
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.
Milena Králíčková
Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
-
C.
Dagmar Havlová
Dagmar Havlová is a Czech actress and former First Lady of the Czech Republic, known for her film and theater work as well as her marriage to President Václav Havel.
-
D.
Dagmar Pecková
Dagmar Pecková is a renowned Czech mezzo-soprano opera singer known for her performances on major European stages and her interpretations of both classical and contemporary repertoire.
-
E.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
- 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: Věra Davidová Target entity description: Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
-
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.
Milena Králíčková
Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
-
C.
Dagmar Havlová
Dagmar Havlová is a Czech actress and former First Lady of the Czech Republic, known for her film and theater work as well as her marriage to President Václav Havel.
-
D.
Dagmar Pecková
Dagmar Pecková is a renowned Czech mezzo-soprano opera singer known for her performances on major European stages and her interpretations of both classical and contemporary repertoire.
-
E.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| auntOrUncle | Věra Davidová ⓘ |
| child | Věra Davidová ⓘ |
| familyName |
Davidová
ⓘ
linked to:
Pekarová
|
| givenName | Věra ⓘ |
| mother | Ottla Kafka ⓘ |
| nieceOf | Franz Kafka ⓘ |
| relative | Franz Kafka ⓘ |
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: Věra Davidová Description of subject: Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.