Triple

T9086256
Position Surface form Disambiguated ID Type / Status
Subject Neil Canton E217762 entity
Predicate notableWork P4 FINISHED
Object Money Train E496618 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: Money Train | Statement: [Neil Canton, notableWork, Money Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Money Train
Context triple: [Neil Canton, notableWork, Money Train]
  • A. Money Train chosen
    Money Train is a 1995 American action-comedy film about two foster brothers who work as New York City transit cops and become entangled in a plot to rob the subway system’s armored “money train.”
  • B. Fast Lane
    Fast Lane is a super-speed ability that allows its user to move and react at extraordinarily accelerated rates compared to normal beings.
  • C. Stop This Train
    "Stop This Train" is a reflective folk-pop song by John Mayer that explores themes of aging, change, and the passage of time.
  • D. Stop the Train
    "Stop the Train" is a song by American singer-songwriter Henry Wolfe, known for its mellow indie-pop style and introspective lyrics.
  • 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.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9654cb3c819089fa8c0ab0841c81 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe40823481909a5c4b82bd24293a completed April 3, 2026, 5:52 p.m.
Created at: March 30, 2026, 7:13 p.m.