Triple

T11300010
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Ondříček E267557 entity
Predicate spouse P13 FINISHED
Object Eva Ondříčková E267557 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: Eva Ondříčková | Statement: [Miroslav Ondříček, spouse, Eva Ondříčková]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Ondříčková
Context triple: [Miroslav Ondříček, spouse, Eva Ondříčková]
  • A. Eva Ondříčková chosen
    Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
  • B. 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.
  • C. 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.
  • D. Jana Vávrová
    Jana Vávrová is a notable individual who bears the Czech surname Vávrová.
  • E. Jana Brejchová
    Jana Brejchová is a prominent Czech film and theater actress known for her roles in Czechoslovak New Wave cinema.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542df01fc81908539407e20543002 completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.