Triple

T11488474
Position Surface form Disambiguated ID Type / Status
Subject Mr. Mercedes (TV series) E272342 entity
Predicate characterIn P12208 FINISHED
Object Bill Hodges E725760 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 Hodges | Statement: [Mr. Mercedes (TV series), characterIn, Bill Hodges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Hodges
Context triple: [Mr. Mercedes (TV series), characterIn, Bill Hodges]
  • A. Bill Hodges
    Bill Hodges is an American basketball coach best known for leading the Larry Bird–led Indiana State Sycamores to the 1979 NCAA championship game.
  • B. Bill Hodges chosen
    Bill Hodges is a retired police detective who serves as the central protagonist in Stephen King’s Bill Hodges crime trilogy.
  • C. Officer Bill Lockwood
    Officer Bill Lockwood is a fictional police officer featured as a central character in the classic American radio crime drama series "Dragnet."
  • D. Jack Hodges
    Jack Hodges is a person notable enough to be recognized as a bearer of the surname Hodges, though specific widely known biographical details are not clearly established.
  • E. Bill Denbrough
    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.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a20df608190992543b4d7006f8a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.