Triple

T5181492
Position Surface form Disambiguated ID Type / Status
Subject Sterling Hayden E116930 entity
Predicate spouse P13 FINISHED
Object Betty de Noon E114632 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: Betty de Noon | Statement: [Sterling Hayden, spouse, Betty de Noon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty de Noon
Context triple: [Sterling Hayden, spouse, Betty de Noon]
  • A. Betty de Noon chosen
    Betty de Noon was the wife of American actor and author Sterling Hayden, known primarily for her marriage to the Hollywood star.
  • B. Betty Garde
    Betty Garde was an American stage, film, and radio actress known for her versatile character roles in mid-20th-century theater and entertainment.
  • C. Betty Bronson
    Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
  • D. Vivian Burnett
    Vivian Burnett was the son of British-American novelist Frances Hodgson Burnett, known primarily in relation to his mother's life and work.
  • E. Betty Gabriel
    Betty Gabriel is an American actress best known for her breakout role as the unsettling housekeeper Georgina in the horror film "Get Out."
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799bc58c819098a8e91e21baaef4 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed959004c81908e28156aae15bee6 completed March 21, 2026, 5:46 p.m.
Created at: March 20, 2026, 1:45 p.m.