Triple

T6075131
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Joseph Mullen Jr. E135380 entity
Predicate associatedAct P37 FINISHED
Object Passengers E130282 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: Passengers | Statement: [Lawrence Joseph Mullen Jr., associatedAct, Passengers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passengers
Context triple: [Lawrence Joseph Mullen Jr., associatedAct, Passengers]
  • A. Passengers chosen
    Passengers is an experimental music project formed by U2 and producer Brian Eno, known for its atmospheric, soundtrack-style compositions.
  • B. 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.
  • C. 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.
  • D. The Passenger
    "The Passenger" is a 1977 rock song by Iggy Pop, known for its driving rhythm, iconic "la-la-la" chorus, and enduring influence as one of his signature tracks.
  • E. Passenger 57
    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.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3fb99481909cc31c179eb4e8c9 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.