Triple

T5049207
Position Surface form Disambiguated ID Type / Status
Subject Royal Philharmonic Orchestra E113742 entity
Predicate hasPrincipalConductor P20921 FINISHED
Object Vasily Petrenko E421644 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: Vasily Petrenko | Statement: [Royal Philharmonic Orchestra, hasPrincipalConductor, Vasily Petrenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasily Petrenko
Context triple: [Royal Philharmonic Orchestra, hasPrincipalConductor, Vasily Petrenko]
  • A. Vasily Petrenko chosen
    Vasily Petrenko is a Russian conductor renowned for his dynamic interpretations and leadership of major orchestras in Europe and beyond.
  • B. Viktor Petrenko
    Viktor Petrenko is a Ukrainian figure skater best known for winning the men's singles gold medal at the 1992 Winter Olympics.
  • C. 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.
  • D. Daniel Harding
    Daniel Harding is a renowned British conductor known for leading major orchestras and opera productions across Europe and beyond.
  • E. Gianandrea Noseda
    Gianandrea Noseda is an acclaimed Italian conductor renowned for his dynamic interpretations of the symphonic and operatic repertoire and leadership of major international orchestras and opera houses.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7eae20c81908e5854f5d66a69b2 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:37 p.m.