Triple

T7425332
Position Surface form Disambiguated ID Type / Status
Subject Josef Havlíček E171352 entity
Predicate familyName P18 FINISHED
Object Havlíček E171352 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: Havlíček | Statement: [Josef Havlíček, familyName, Havlíček]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havlíček
Context triple: [Josef Havlíček, familyName, Havlíček]
  • A. Havlíček chosen
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Hašek
    Hašek is a Czech surname most famously associated with Dominik Hašek, the legendary NHL goaltender and Hockey Hall of Famer.
  • C. Gabčík
    Gabčík is a Slovak surname most notably borne by Jozef Gabčík, a World War II resistance fighter involved in the assassination of Nazi official Reinhard Heydrich.
  • D. Jaroslav Havlíček
    Jaroslav Havlíček was a Czech writer best known for his psychologically oriented novels and short stories from the interwar period.
  • E. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f303eb988190ba9df7946fce1c86 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856a8312881908a86c30706283a9c completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:12 p.m.