Triple

T3516842
Position Surface form Disambiguated ID Type / Status
Subject Alla Nazimova E74328 entity
Predicate alsoKnownAs P39 FINISHED
Object Nazimova E74328 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: Nazimova | Statement: [Alla Nazimova, alsoKnownAs, Nazimova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazimova
Context triple: [Alla Nazimova, alsoKnownAs, Nazimova]
  • A. Alla Nazimova chosen
    Alla Nazimova was a pioneering Russian-American actress, producer, and screenwriter of the silent film era, renowned for her intense performances and avant-garde artistic collaborations in early Hollywood.
  • B. Natacha Rambova
    Natacha Rambova was an American costume and set designer, art director, and occasional actress best known for her work in silent films and her marriage to screen idol Rudolph Valentino.
  • C. Lyubov Orlova
    Lyubov Orlova was a celebrated Soviet film and theater actress, widely regarded as one of the first major stars of Soviet cinema.
  • D. Miriam Henreid
    Miriam Henreid is known as one of the daughters of Austrian-born actor and director Paul Henreid.
  • E. Irene Sharaff
    Irene Sharaff was an acclaimed American costume designer known for her influential work in Broadway theatre and Hollywood films, earning multiple Academy Awards for her distinctive visual style.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc31c0688190a890621a901f5f5f completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d9643881909737836640c22802 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:19 p.m.