Triple

T23072837
Position Surface form Disambiguated ID Type / Status
Subject Letters to Olga E575241 entity
Predicate dedicatedTo P500 FINISHED
Object Olga Havlová E1265839 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: Olga Havlová | Statement: [Letters to Olga, dedicatedTo, Olga Havlová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Havlová
Context triple: [Letters to Olga, dedicatedTo, Olga Havlová]
  • A. Olga Havlová chosen
    Olga Havlová was a Czech dissident, human rights activist, and the first wife of Václav Havel, known for her charitable work and role in the country’s transition from communism.
  • B. Olga Lendlová
    Olga Lendlová is the daughter of Czech-American tennis legend Ivan Lendl.
  • 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. Olga Schoberová
    Olga Schoberová is a Czech actress and sex symbol of the 1960s and 1970s, known for her roles in European films and her resemblance to Brigitte Bardot.
  • E. 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.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c60fa6c81908496f181c7d62033 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15a941748190b6c44e4a6e6256e2 completed May 19, 2026, 7:47 a.m.
Created at: April 17, 2026, 3:56 p.m.