Triple

T1715021
Position Surface form Disambiguated ID Type / Status
Subject It (2017 film) E37270 entity
Predicate character P662 FINISHED
Object Bill Denbrough E219549 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: Bill Denbrough | Statement: [It (2017 film), character, Bill Denbrough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Denbrough
Context triple: [It (2017 film), character, Bill Denbrough]
  • A. Bill Denbrough chosen
    Bill Denbrough is a central member of the Losers' Club in Stephen King's horror universe, known for his leadership, stutter, and lifelong struggle against the shape-shifting entity known as It.
  • B. Dan Osborn
    Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
  • C. Tom Rothrock
    Tom Rothrock is an American record producer and musician known for his work with artists such as James Blunt, Beck, and Elliott Smith.
  • D. Paul Webster
    Paul Webster is a British film producer known for his work on acclaimed films such as "Salmon Fishing in the Yemen" and other major international productions.
  • E. Jack Driscoll
    Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633349248190822e560fde817fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aaf7a008190bf7e5808838c6c2b completed March 8, 2026, 11:47 p.m.
Created at: March 4, 2026, 7:30 p.m.