Triple

T9400463
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Tyrš E226453 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 Tyrš, givenName, Miroslav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miroslav
Context triple: [Miroslav Tyrš, 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. Lubomir
    Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
  • D. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • E. Mladen
    Mladen is the original given name of American actor Karl Malden, known for his Academy Award–winning role in "A Streetcar Named Desire" and his work in film and television.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5156b9588190bafb6b1c3ee3c0ed completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1079798048190a1bd5318df4b1649 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:46 p.m.