Triple

T2676943
Position Surface form Disambiguated ID Type / Status
Subject Gloria Grahame E56481 entity
Predicate workedWith P398 FINISHED
Object Glenn Ford E250405 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: Glenn Ford | Statement: [Gloria Grahame, workedWith, Glenn Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenn Ford
Context triple: [Gloria Grahame, workedWith, Glenn Ford]
  • A. Glenn Ford chosen
    Glenn Ford was a Canadian-American film actor renowned for his versatile performances in classic Hollywood movies such as "Gilda," "The Big Heat," and "Blackboard Jungle."
  • B. Alan Ladd
    Alan Ladd was an American film actor best known for his cool, understated performances in classic movies such as the Western "Shane."
  • C. Kirk Douglas
    Kirk Douglas was a legendary American actor and producer, renowned for his intense performances in classic films such as "Spartacus" and "Paths of Glory."
  • D. Robert Mitchum
    Robert Mitchum was an American film actor renowned for his tough, laconic screen persona in classic noir, Western, and war films from the 1940s through the 1970s.
  • E. Melvyn Douglas
    Melvyn Douglas was an acclaimed American actor known for his sophisticated screen presence and award-winning performances in both classic Hollywood films and later character roles.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b4a70481909d8b8242039c1cf2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f26de488190ac6050638278f988 completed March 12, 2026, 12:56 a.m.
Created at: March 6, 2026, 9:54 p.m.