Triple

T18834780
Position Surface form Disambiguated ID Type / Status
Subject David Michael Latt E460631 entity
Predicate notableWork P4 FINISHED
Object Snakes on a Train NE NERFINISHED

How this triple was built (3 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: Snakes on a Train | Statement: [David Michael Latt, notableWork, Snakes on a Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snakes on a Train
Context triple: [David Michael Latt, notableWork, Snakes on a Train]
  • A. Terror Train
    Terror Train is a 1980 Canadian slasher film set on a New Year's Eve costume party train, known for starring Jamie Lee Curtis during her early "scream queen" era.
  • B. Skunk Train
    The Skunk Train is a historic scenic railroad in Northern California that offers passenger excursions through the redwood forests between Fort Bragg and Willits.
  • C. Infinity Train
    Infinity Train is an animated anthology series that follows passengers aboard a mysterious, ever-changing train where each car presents surreal challenges tied to the characters’ personal struggles and growth.
  • D. Death Train
    Death Train is a thriller novel best known for its high-stakes plot involving a deadly weapon being transported by rail, written by Daniel Stewart.
  • E. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Snakes on a Train
Target entity description: Snakes on a Train is a low-budget 2006 horror film produced by The Asylum that capitalizes on the popularity of Snakes on a Plane with a similar premise involving venomous snakes terrorizing passengers on a moving train.
  • A. Terror Train
    Terror Train is a 1980 Canadian slasher film set on a New Year's Eve costume party train, known for starring Jamie Lee Curtis during her early "scream queen" era.
  • B. Skunk Train
    The Skunk Train is a historic scenic railroad in Northern California that offers passenger excursions through the redwood forests between Fort Bragg and Willits.
  • C. Infinity Train
    Infinity Train is an animated anthology series that follows passengers aboard a mysterious, ever-changing train where each car presents surreal challenges tied to the characters’ personal struggles and growth.
  • D. Death Train
    Death Train is a thriller novel best known for its high-stakes plot involving a deadly weapon being transported by rail, written by Daniel Stewart.
  • E. Stop That Train
    "Stop That Train" is a reggae song popularized by Bob Marley and the Wailers, known for its laid-back groove and themes of departure and escape.
  • F. None of above. chosen

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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99c1394819095c62eef040e552c completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.