Triple
T4588872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottla Kafka |
E103434
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Věra Davidová
Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
|
E455482
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Věra Davidová | Statement: [Ottla Kafka, child, Věra Davidová]
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.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Věra Davidová Triple: [Ottla Kafka, child, Věra Davidová]
Generated description
Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
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
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592115fc8190b1aee1d8bbaf1ee3 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0b9f700819082b0e5171132d0f3 |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bde31735a481909d005e6c44e2f114 |
completed | March 21, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde6d185088190b94580f53038d883 |
completed | March 21, 2026, 12:31 a.m. |
Created at: March 20, 2026, 1:11 p.m.