Triple

T19454817
Position Surface form Disambiguated ID Type / Status
Subject Hawkins Police Department uniform E486708 entity
Predicate wornByCharacter P14625 FINISHED
Object Callahan 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: Callahan | Statement: [Hawkins Police Department uniform, wornByCharacter, Callahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callahan
Context triple: [Hawkins Police Department uniform, wornByCharacter, Callahan]
  • A. Callahan chosen
    Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
  • B. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • C. Halloran
    Halloran is the surname of the eccentric, dysfunctional family at the center of Shirley Jackson’s gothic novel "The Sundial."
  • D. Scanlan
    Scanlan is a surname of Irish origin that is used as a variant of the name Scanlon.
  • E. Lehane
    Lehane is the surname of Dennis Lehane, an American novelist known for his crime and mystery fiction, including works like "Mystic River" and the Kenzie-Gennaro series.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c117ac8190a38c01c3191beaea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.