Triple

T3201998
Position Surface form Disambiguated ID Type / Status
Subject The Last Tycoon E67071 entity
Predicate starred P5563 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: [The Last Tycoon, starred, Robert Mitchum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Mitchum
Context triple: [The Last Tycoon, starred, 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. 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."
  • E. Alan Ladd
    Alan Ladd was an American film actor best known for his cool, understated performances in classic movies such as the Western "Shane."
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5281788fc81908baa6a14098281b4 completed March 14, 2026, 9:19 a.m.
Created at: March 8, 2026, 3:07 p.m.