Triple

T20478406
Position Surface form Disambiguated ID Type / Status
Subject The Accidental Tourist E502383 entity
Predicate cinematographer P1953 FINISHED
Object John Bailey 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: John Bailey | Statement: [The Accidental Tourist, cinematographer, John Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bailey
Context triple: [The Accidental Tourist, cinematographer, John Bailey]
  • A. John Bailey chosen
    John Bailey is an American cinematographer renowned for his work on numerous acclaimed films, including the classic comedy "Groundhog Day."
  • B. John Bailey
    John Bailey is an American singer best known as a member of the R&B and doo-wop vocal group The Clovers.
  • C. John Bailey
    John Bailey was a British character actor known for his numerous television appearances, including roles in classic "Doctor Who" serials.
  • D. John Baxter
    John Baxter is the protagonist of the 1983 supernatural horror film *Amityville 3-D*, a skeptical journalist whose investigation of a supposedly haunted house draws him into terrifying paranormal events.
  • E. John Baxter
    John Baxter is the grieving father and central protagonist of Daphne du Maurier’s horror story and its film adaptation "Don't Look Now," whose attempts to cope with his daughter’s death lead him into a web of psychological and supernatural terror in Venice.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.