Triple

T21220241
Position Surface form Disambiguated ID Type / Status
Subject Ward Stare E522945 entity
Predicate hasWorkedWith P9615 FINISHED
Object Moscow Chamber Orchestra NE NERFINISHED

How this triple was built (3 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 Chamber Orchestra | Statement: [Ward Stare, hasWorkedWith, Moscow Chamber Orchestra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow Chamber Orchestra
Context triple: [Ward Stare, hasWorkedWith, Moscow Chamber Orchestra]
  • A. Moscow Philharmonic Orchestra
    The Moscow Philharmonic Orchestra is a leading Russian symphony orchestra renowned for its rich interpretive tradition and extensive recordings of the classical and Russian repertoire.
  • B. Mariinsky Orchestra
    The Mariinsky Orchestra is a renowned Russian symphony orchestra based in Saint Petersburg, celebrated for its interpretations of Russian classical and operatic repertoire.
  • C. Bolshoi Orchestra
    The Bolshoi Orchestra is the renowned resident orchestra of Moscow’s Bolshoi Theatre, celebrated for its performances of opera and ballet in the Russian classical tradition.
  • D. Russian National Orchestra
    The Russian National Orchestra is a leading Moscow-based symphony orchestra, renowned internationally for its virtuoso performances and acclaimed recordings of both Russian and Western classical repertoire.
  • E. USSR State Symphony Orchestra
    The USSR State Symphony Orchestra was one of the Soviet Union’s leading national orchestras, renowned for its powerful performances and extensive recordings of Russian and Soviet classical repertoire.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moscow Chamber Orchestra
Target entity description: The Moscow Chamber Orchestra is a renowned Russian ensemble celebrated for its refined interpretations of classical and contemporary chamber repertoire.
  • A. Moscow Philharmonic Orchestra
    The Moscow Philharmonic Orchestra is a leading Russian symphony orchestra renowned for its rich interpretive tradition and extensive recordings of the classical and Russian repertoire.
  • B. Mariinsky Orchestra
    The Mariinsky Orchestra is a renowned Russian symphony orchestra based in Saint Petersburg, celebrated for its interpretations of Russian classical and operatic repertoire.
  • C. Bolshoi Orchestra
    The Bolshoi Orchestra is the renowned resident orchestra of Moscow’s Bolshoi Theatre, celebrated for its performances of opera and ballet in the Russian classical tradition.
  • D. Russian National Orchestra
    The Russian National Orchestra is a leading Moscow-based symphony orchestra, renowned internationally for its virtuoso performances and acclaimed recordings of both Russian and Western classical repertoire.
  • E. USSR State Symphony Orchestra
    The USSR State Symphony Orchestra was one of the Soviet Union’s leading national orchestras, renowned for its powerful performances and extensive recordings of Russian and Soviet classical repertoire.
  • F. None of above. chosen

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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73477957081908ab9ad11f51d15fd completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:43 p.m.