Triple

T658219
Position Surface form Disambiguated ID Type / Status
Subject Dorothy McGuire E11695 entity
Predicate name P16 FINISHED
Object Dorothy McGuire E11695 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: Dorothy McGuire | Statement: [Dorothy McGuire, name, Dorothy McGuire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy McGuire
Context triple: [Dorothy McGuire, name, Dorothy McGuire]
  • A. Dorothy McGuire chosen
    Dorothy McGuire was an American film and stage actress known for her sensitive, understated performances in classic mid-20th-century Hollywood dramas.
  • B. Jane Wyatt
    Jane Wyatt was an American actress best known for her roles in the film "Gentleman's Agreement" and the television series "Father Knows Best."
  • C. Celeste Holm
    Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
  • D. Maureen Stapleton
    Maureen Stapleton was an acclaimed American actress of stage, film, and television, known for her powerful character roles and multiple Academy Award nominations.
  • E. Thelma Ritter
    Thelma Ritter was an acclaimed American character actress known for her sharp-tongued, humorous supporting roles in classic mid-20th-century films and for receiving multiple Academy Award nominations.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e331b148190aec0181dccbd5c62 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:36 p.m.