Triple

T11239728
Position Surface form Disambiguated ID Type / Status
Subject David Loughery E266038 entity
Predicate notableWork P4 FINISHED
Object Passenger 57 E169602 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: Passenger 57 | Statement: [David Loughery, notableWork, Passenger 57]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passenger 57
Context triple: [David Loughery, notableWork, Passenger 57]
  • A. Passenger 57 chosen
    Passenger 57 is a 1992 American action thriller film starring Wesley Snipes as an airline security expert who must thwart a terrorist hijacking mid-flight.
  • B. Passengers
    Passengers is an experimental music project formed by U2 and producer Brian Eno, known for its atmospheric, soundtrack-style compositions.
  • C. Passengers
    Passengers is a 2016 science fiction romance film starring Jennifer Lawrence and Chris Pratt as space travelers who awaken prematurely from hibernation on an interstellar voyage.
  • D. The Passenger
    The Passenger is a late-career novel by Cormac McCarthy that follows a haunted salvage diver entangled in mystery, guilt, and philosophical inquiry in the aftermath of his sister’s suicide.
  • E. The Passenger
    "The Passenger" is a short story set in the universe of the 1995 LucasArts adventure game Full Throttle, expanding on its world of outlaw bikers and dystopian highways.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.