Triple

T3050652
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Šatan E83560 entity
Predicate givenName P17 FINISHED
Object Miroslav E95945 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: Miroslav | Statement: [Miroslav Šatan, givenName, Miroslav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miroslav
Context triple: [Miroslav Šatan, givenName, Miroslav]
  • A. Miroslav chosen
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • B. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • C. Miroslav Tyrš
    Miroslav Tyrš was a Czech art historian, philosopher, and nationalist who co-founded the Sokol movement, which combined physical education with cultural and patriotic ideals in the Czech lands.
  • D. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • E. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb1a46081908547a2f27cbf3446 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eefa84f08190a178cc0674d8a3ab completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.