Triple

T19781866
Position Surface form Disambiguated ID Type / Status
Subject The Train (1964 film) E475154 entity
Predicate title P38 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: [The Train (1964 film), title, The Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Train
Context triple: [The Train (1964 film), title, 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653846a248190adc4afe0dc29a402 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.