Triple

T9197777
Position Surface form Disambiguated ID Type / Status
Subject Philippe de Broca E220758 entity
Predicate notableWork P4 FINISHED
Object That Man from Rio E784081 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: That Man from Rio | Statement: [Philippe de Broca, notableWork, That Man from Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: That Man from Rio
Context triple: [Philippe de Broca, notableWork, That Man from Rio]
  • A. That Man from Rio chosen
    That Man from Rio is a 1964 French adventure-comedy film starring Jean-Paul Belmondo, known for its fast-paced, globe-trotting plot and influence on later action movies.
  • B. The Girl from Rio
    The Girl from Rio is a 1927 silent romantic drama film starring Rod La Rocque, set against a vibrant South American backdrop.
  • C. The Girl from Brazil
    "The Girl from Brazil" is a novel by British-American writer Guy Bolton, best known for his work in theatre and popular fiction.
  • D. The Man from Acapulco
    The Man from Acapulco is a 1973 French-Italian adventure comedy film starring Jean-Paul Belmondo as a mild-mannered writer who imagines himself as a daring secret agent.
  • E. The Man from Hollywood
    The Man from Hollywood is a comedic segment in the anthology film Four Rooms, directed by Quentin Tarantino and featuring him as a charismatic high-stakes gambler in a tense, darkly humorous bet.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87f50e88190940e73af1deda747 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d8f358819085dec73f25fd5746 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:25 p.m.