Triple

T3672898
Position Surface form Disambiguated ID Type / Status
Subject Scrooged E77919 entity
Predicate castMember P1668 FINISHED
Object Robert Mitchum E251971 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: Robert Mitchum | Statement: [Scrooged, castMember, Robert Mitchum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Mitchum
Context triple: [Scrooged, castMember, Robert Mitchum]
  • A. Robert Mitchum chosen
    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.
  • B. Glenn Ford
    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."
  • C. Lee Marvin
    Lee Marvin was an American film and television actor known for his tough-guy roles in war movies and Westerns, including his Oscar-winning performance in "Cat Ballou."
  • D. Richard Widmark
    Richard Widmark was an American film and television actor renowned for his intense portrayals in film noir and Westerns, particularly during Hollywood’s mid-20th-century era.
  • E. Henry Fonda
    Henry Fonda was an acclaimed American film and stage actor known for his portrayals of principled, quietly heroic characters in classic films such as "12 Angry Men" and "On Golden Pond."
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42f82548190b4d5f0fe7250decb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b672133044819089d54cca5ed6a063 completed March 15, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:25 p.m.