Triple

T6102518
Position Surface form Disambiguated ID Type / Status
Subject Scream E136030 entity
Predicate screenwriter P2831 FINISHED
Object Kevin Williamson E259261 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: Kevin Williamson | Statement: [Scream, screenwriter, Kevin Williamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Williamson
Context triple: [Scream, screenwriter, Kevin Williamson]
  • A. Kevin Williamson chosen
    Kevin Williamson is an American screenwriter and producer best known for creating the TV series "Dawson's Creek" and writing influential 1990s horror films such as "Scream."
  • B. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • C. Robert Klein
    Robert Klein is an American stand-up comedian and actor known for his influential role in modern observational comedy and numerous appearances on television and Broadway.
  • D. Jim Lemley
    Jim Lemley is an American film producer known for working on major action and fantasy films, including the 2008 movie "Wanted."
  • E. Cary Coglianese
    Cary Coglianese is an American legal scholar known for his expertise in administrative law, regulation, and regulatory policy, and for founding the Penn Program on Regulation at the University of Pennsylvania.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3c073c81908248c799934d6fce completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254fbbf881908b7a3d07f0400387 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.