Triple

T7655939
Position Surface form Disambiguated ID Type / Status
Subject Stalingrad (1993 film) E173380 entity
Predicate castMember P1668 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: [Stalingrad (1993 film), castMember, Dana Vávrová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Vávrová
Context triple: [Stalingrad (1993 film), castMember, 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. Jana Vávrová
    Jana Vávrová is a notable individual who bears the Czech surname Vávrová.
  • 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. 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.
  • E. Eva Ondříčková
    Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018ea3688190907c3ac7d25e3da6 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89afd1438819080c8f097df1d1453 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.