Triple

T8315536
Position Surface form Disambiguated ID Type / Status
Subject Jaeden Lieberher E194696 entity
Predicate portrayed P1668 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: [Jaeden Lieberher, portrayed, Bill Denbrough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Denbrough
Context triple: [Jaeden Lieberher, portrayed, 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. Charlie Corwin
    Charlie Corwin is an American television and film producer and media executive known for developing and overseeing a wide range of unscripted and scripted entertainment projects.
  • C. Val McNulty
    Val McNulty is a fictional character appearing in P. G. Wodehouse’s comic novel "The Mating Season."
  • D. Bryan Woodman
    Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
  • E. Jack Deerson
    Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f540b2081908ccb1b2ed040c74e completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde77d43cc8190ad18e932d9230e5c completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:55 p.m.