Triple

T15710077
Position Surface form Disambiguated ID Type / Status
Subject Woodsboro E380814 entity
Predicate hasResidentInFiction P1092 FINISHED
Object Stu Macher E568658 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: Stu Macher | Statement: [Woodsboro, hasResidentInFiction, Stu Macher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stu Macher
Context triple: [Woodsboro, hasResidentInFiction, Stu Macher]
  • A. Stu Macher chosen
    Stu Macher is a charismatic yet unhinged high school student who becomes one of the Ghostface killers in the original Scream film.
  • B. Tom Luddy
    Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
  • C. Chip Hardesty
    Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
  • D. Dan Studney
    Dan Studney is an American screenwriter best known for co-writing the fantasy adventure film "Jack the Giant Slayer" and the cult musical "Reefer Madness: The Movie Musical."
  • E. Bill Boals
    Bill Boals is the husband of American character actress Margo Martindale.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a6d6308190ad57a51b380171a2 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 4:45 a.m.