Triple

T14429521
Position Surface form Disambiguated ID Type / Status
Subject Ilya Musin E357783 entity
Predicate influenced P9 FINISHED
Object Valery Gergiev E43547 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: Valery Gergiev | Statement: [Ilya Musin, influenced, Valery Gergiev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valery Gergiev
Context triple: [Ilya Musin, influenced, Valery Gergiev]
  • A. Valery Gergiev chosen
    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.
  • B. Semyon Bychkov
    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.
  • C. Igor Petrenko
    Igor Petrenko is a Russian film and television actor known for leading roles in historical and crime dramas.
  • D. Viktor Petrenko
    Viktor Petrenko is a Ukrainian figure skater best known for winning the men's singles gold medal at the 1992 Winter Olympics.
  • 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 (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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd1c4d0819085edb9ed22128b68 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.