Triple

T20225679
Position Surface form Disambiguated ID Type / Status
Subject Imperial Theatres E495370 entity
Predicate employer P7 FINISHED
Object Vera Komissarzhevskaya 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: Vera Komissarzhevskaya | Statement: [Imperial Theatres, employer, Vera Komissarzhevskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Komissarzhevskaya
Context triple: [Imperial Theatres, employer, Vera Komissarzhevskaya]
  • A. Vera Komissarzhevskaya chosen
    Vera Komissarzhevskaya was a celebrated Russian actress of the late 19th and early 20th centuries, renowned for her emotionally intense performances and influential contributions to Russian theatre.
  • B. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is a costume designer known for her work on the film "Two Women."
  • C. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • D. Nadezhda Udaltsova
    Nadezhda Udaltsova was a Russian avant-garde painter associated with early 20th-century abstract movements, particularly known for her contributions to Suprematist art.
  • E. Ludmila Feodorovitch
    Ludmila Feodorovitch was the wife of Nobel Prize–winning Russian zoologist and immunologist Ilya Ilyich Mechnikov.
  • 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.