Triple

T20225684
Position Surface form Disambiguated ID Type / Status
Subject Imperial Theatres E495370 entity
Predicate employer P7 FINISHED
Object Alexander Gorsky 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: Alexander Gorsky | Statement: [Imperial Theatres, employer, Alexander Gorsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Gorsky
Context triple: [Imperial Theatres, employer, Alexander Gorsky]
  • A. Alexander Gorsky chosen
    Alexander Gorsky was a Russian ballet master and choreographer known for revitalizing classical ballets with more naturalistic staging and dramatic realism in the late 19th and early 20th centuries.
  • B. Alexander Tvardovsky
    Alexander Tvardovsky was a prominent Soviet poet and editor, best known for his narrative poem "Vasily Tyorkin" and his influential leadership of the literary magazine Novy Mir.
  • C. Alexander Toluboff
    Alexander Toluboff was a Hollywood art director known for his work on major studio productions in the 1930s and 1940s.
  • D. George Starostin
    George Starostin is a historical linguist known for his comparative work on African and other language families, including research on Northern Bantoid languages.
  • E. Alexander Melnikov
    Alexander Melnikov is a Russian pianist acclaimed for his historically informed performances and collaborations in chamber music and period-instrument repertoire.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd9c1f4819092a98f5fa84fb795 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.