Triple

T23507456
Position Surface form Disambiguated ID Type / Status
Subject Passengers E572321 entity
Predicate producer P490 FINISHED
Object Stephen Hamel NE NERFINISHED

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: Stephen Hamel | Statement: [Passengers, producer, Stephen Hamel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Hamel
Context triple: [Passengers, producer, Stephen Hamel]
  • A. Stephen Hamel chosen
    Stephen Hamel is a film producer known for his work on science fiction and genre films, including the space-set romance thriller "Passengers."
  • B. Ian La Frenais
    Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
  • C. Carl Brisson
    Carl Brisson was a Danish-born actor and singer best known for his leading roles in British silent and early sound films of the 1920s and 1930s.
  • D. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • E. Edward Montagne
    Edward Montagne was an American film and television producer and director known for his work on mid-20th-century comedies and TV series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a901c9908190a781e79fe8b96743 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.