Triple
T6199648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vávrová |
E138596
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Dana Vávrová |
E23595
|
NE FINISHED |
How this triple was built (2 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: Dana Vávrová | Statement: [Vávrová, hasNotableBearer, Dana Vávrová]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Vávrová Context triple: [Vávrová, hasNotableBearer, Dana Vávrová]
-
A.
Dana Vávrová
chosen
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.
Anna Čermáková
Anna Čermáková was the wife of renowned Czech composer Antonín Dvořák and the sister of his former piano pupil and early love, Josefina Čermáková.
-
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.
Eva Ondříčková
Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
-
E.
Jana Fialová
Jana Fialová is known primarily as the wife of Czech politician and Prime Minister Petr Fiala.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06253534c8190aafe70a6cf5a67ec |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243da922c819080d8d37adbb5635e |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:20 p.m.