Triple

T20152009
Position Surface form Disambiguated ID Type / Status
Subject Anton Arensky E491454 entity
Predicate employer P7 FINISHED
Object Moscow Conservatory 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: Moscow Conservatory | Statement: [Anton Arensky, employer, Moscow Conservatory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow Conservatory
Context triple: [Anton Arensky, employer, Moscow Conservatory]
  • A. Moscow Conservatory chosen
    The Moscow Conservatory is one of Russia's most prestigious music schools, renowned for training many of the world's leading classical musicians and composers.
  • B. Petrograd Conservatory
    The Petrograd Conservatory is a prestigious Russian music academy in Saint Petersburg renowned for training many prominent composers, performers, and conductors.
  • C. Gnessin State Musical College
    Gnessin State Musical College is a prestigious Moscow music institution renowned for training many prominent Soviet and Russian musicians and composers.
  • D. Saratov Conservatory
    Saratov Conservatory is a higher music education institution in Saratov, Russia, known for training professional musicians and fostering the region’s classical music culture.
  • E. Odessa Conservatory
    Odessa Conservatory is a prominent music academy in Odesa, Ukraine, renowned for training distinguished classical musicians and performers.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dc34e081908e42e4c1bde26170 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:33 p.m.