Triple

T22546112
Position Surface form Disambiguated ID Type / Status
Subject Victor Mature E557431 entity
Predicate spouse P13 FINISHED
Object Lucille Western 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: Lucille Western | Statement: [Victor Mature, spouse, Lucille Western]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucille Western
Context triple: [Victor Mature, spouse, Lucille Western]
  • A. Lucille Western chosen
    Lucille Western was the first wife of American film actor Victor Mature, known primarily for her brief marriage to the Hollywood star in the 1930s.
  • B. Lucille Lund
    Lucille Lund was an American film actress of the 1930s best remembered for her roles in horror and B-movies produced during Hollywood’s early sound era.
  • C. Lucille Watson
    Lucille Watson was a Canadian-born American character actress known for her refined, often aristocratic roles in Hollywood films of the 1930s and 1940s.
  • D. Lucille Carlisle
    Lucille Carlisle was an American silent film actress best known for her frequent appearances in comedy shorts during the 1910s and 1920s.
  • E. Lucille Kelley
    Lucille Kelley was the birth name of American actress and mystery novelist Judith Barrett.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.