Triple

T6134939
Position Surface form Disambiguated ID Type / Status
Subject The Busy Body E136808 entity
Predicate hasLeadActor P5563 FINISHED
Object Robert Ryan E584438 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 Ryan | Statement: [The Busy Body, hasLeadActor, Robert Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Ryan
Context triple: [The Busy Body, hasLeadActor, Robert Ryan]
  • A. Robert Ryan chosen
    Robert Ryan was an American actor renowned for his intense portrayals of tough, complex characters in mid-20th-century film noir and drama.
  • B. Richard Farnsworth
    Richard Farnsworth was an American actor and former stuntman best known for his understated, dignified performances in films such as "The Straight Story" and "Comes a Horseman."
  • 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. Dan Duryea
    Dan Duryea was an American character actor best known for his distinctive portrayals of sneering villains and tough guys in film noir and classic Hollywood movies of the 1940s and 1950s.
  • E. 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.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c80a6088190a028967b682fed2b completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603d90bcc81908f819a9e262ec17a completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:15 p.m.