Triple

T20734429
Position Surface form Disambiguated ID Type / Status
Subject Michel Simon E509655 entity
Predicate notableWork P4 FINISHED
Object The Train 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: The Train | Statement: [Michel Simon, notableWork, The Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Train
Context triple: [Michel Simon, notableWork, The Train]
  • A. The Train chosen
    The Train is a 1964 World War II thriller film, directed by John Frankenheimer and co-written by Franklin Coen, about French Resistance fighters trying to stop Nazis from transporting stolen art out of France.
  • B. The Train
    "The Train" is a song featured on the soundtrack album for the film "Idlewild," associated with the hip hop duo OutKast.
  • C. This Train
    "This Train" is a traditional American gospel song popularized by Sister Rosetta Tharpe, celebrated for its driving rhythm and moralistic lyrics about a righteous journey to salvation.
  • D. This Train
    "This Train" is a song by reggae artist International Herb, likely reflecting his roots-influenced style and themes.
  • E. The People's Train
    The People's Train is a historical novel by Australian author Thomas Keneally that follows a Russian revolutionary exile in early 20th-century Australia.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c209348c819084a2f35f36378680 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:31 p.m.