Triple

T16913348
Position Surface form Disambiguated ID Type / Status
Subject Galina Zmievskaya E410256 entity
Predicate notableStudent P4838 FINISHED
Object Viktor Petrenko E83351 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: Viktor Petrenko | Statement: [Galina Zmievskaya, notableStudent, Viktor Petrenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktor Petrenko
Context triple: [Galina Zmievskaya, notableStudent, Viktor Petrenko]
  • A. Viktor Petrenko chosen
    Viktor Petrenko is a Ukrainian figure skater best known for winning the men's singles gold medal at the 1992 Winter Olympics.
  • B. Igor Petrenko
    Igor Petrenko is a Russian film and television actor known for leading roles in historical and crime dramas.
  • C. Vasily Petrenko
    Vasily Petrenko is a Russian conductor renowned for his dynamic interpretations and leadership of major orchestras in Europe and beyond.
  • D. 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.
  • E. 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.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7be679c8190b9d0b0b9cfe185d3 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.