Triple

T22839717
Position Surface form Disambiguated ID Type / Status
Subject The Girl Can’t Help It E566047 entity
Predicate starring P1507 FINISHED
Object John Emery 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: John Emery | Statement: [The Girl Can’t Help It, starring, John Emery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Emery
Context triple: [The Girl Can’t Help It, starring, John Emery]
  • A. John Emery chosen
    John Emery was an American stage, film, and television actor active in the mid-20th century, often cast in sophisticated or villainous supporting roles.
  • B. Jonathan Emery
    Jonathan Emery is an actor known for his role in the film "The Iron Mistress."
  • C. Edward Emery
    Edward Emery was the husband of British actress and occultist Florence Farr, known primarily for his connection to her rather than for a prominent public career of his own.
  • D. William Harrigan
    William Harrigan was an American character actor of stage and screen, active in the early to mid-20th century, known for his supporting roles in crime and drama films.
  • E. Paul Kernaghan
    Paul Kernaghan is a British public official and former senior police officer who has served as the House of Lords Commissioner for Standards, overseeing investigations into members’ conduct.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.