Triple

T21413437
Position Surface form Disambiguated ID Type / Status
Subject Professional Soldier E528235 entity
Predicate starring P1507 FINISHED
Object Constance Collier 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: Constance Collier | Statement: [Professional Soldier, starring, Constance Collier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constance Collier
Context triple: [Professional Soldier, starring, Constance Collier]
  • A. Constance Collier chosen
    Constance Collier was a British stage and film actress and acting coach known for her distinguished theatrical career in the late 19th and early 20th centuries and for mentoring many prominent Hollywood performers.
  • B. Constance Lloyd
    Constance Lloyd was an Irish author and early feminist best known as the wife of playwright Oscar Wilde and for her involvement in the dress reform movement of the late 19th century.
  • C. Constance Kell
    Constance Kell was the wife of Sir Vernon Kell, the founding director of the British Security Service (MI5).
  • D. Constance Dowling
    Constance Dowling was an American film and stage actress active in the 1940s and 1950s, known for her roles in Hollywood and Italian cinema.
  • E. Constance Moore
    Constance Moore was an American actress and singer best known for her roles in 1930s–1940s Hollywood films and early science fiction serials.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b201ce1481908392c77e5ca40f5f completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:44 p.m.