Triple

T23310274
Position Surface form Disambiguated ID Type / Status
Subject Semyon Bychkov E590564 entity
Predicate name P16 FINISHED
Object Semyon Bychkov NE NERFINISHED

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: Semyon Bychkov | Statement: [Semyon Bychkov, name, Semyon Bychkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semyon Bychkov
Context triple: [Semyon Bychkov, name, Semyon Bychkov]
  • A. Semyon Bychkov chosen
    Semyon Bychkov is a prominent Russian-American conductor renowned for his interpretations of the Romantic and 20th-century orchestral repertoire and leadership of major European and American orchestras.
  • B. Valery Gergiev
    Valery Gergiev is a prominent Russian conductor renowned for his long tenure leading the Mariinsky Theatre and for his influential presence on the international classical music scene.
  • C. Igor Petrenko
    Igor Petrenko is a Russian film and television actor known for leading roles in historical and crime dramas.
  • D. Kirill Karabits
    Kirill Karabits is a Ukrainian conductor internationally recognized for his dynamic interpretations and leadership of major orchestras.
  • E. Vasily Petrenko
    Vasily Petrenko is a Russian conductor renowned for his dynamic interpretations and leadership of major orchestras in Europe and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972acad08190bb56541b822555cd completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.