Triple

T17856597
Position Surface form Disambiguated ID Type / Status
Subject Bruce Cabot E445952 entity
Predicate workedWith P398 FINISHED
Object Fay Wray 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: Fay Wray | Statement: [Bruce Cabot, workedWith, Fay Wray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay Wray
Context triple: [Bruce Cabot, workedWith, Fay Wray]
  • A. Fay Wray chosen
    Fay Wray was a Canadian-American actress best known for her iconic role as the damsel Ann Darrow in the classic 1933 film "King Kong."
  • B. Maureen O'Brien
    Maureen O'Brien is a British actress best known for playing the First Doctor’s companion Vicki in the classic science fiction television series Doctor Who.
  • C. Colleen Moore
    Colleen Moore was a popular American silent film actress best known for her flapper roles in the 1920s, which helped define the era’s modern screen heroine.
  • D. Maureen O'Sullivan
    Maureen O'Sullivan was an Irish-American actress best known for playing Jane opposite Johnny Weissmuller in the classic Tarzan film series of the 1930s and 1940s.
  • E. Clara Bow
    Clara Bow was a hugely popular American silent film actress of the 1920s, famously known as the original "It Girl" and a defining sex symbol of the Jazz Age.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978bd5e081909e192f6aada5235f completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.