Triple

T13384338
Position Surface form Disambiguated ID Type / Status
Subject Good Girls E319400 entity
Predicate castMember P1668 FINISHED
Object Matthew Lillard E299548 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: Matthew Lillard | Statement: [Good Girls, castMember, Matthew Lillard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Lillard
Context triple: [Good Girls, castMember, Matthew Lillard]
  • A. Matthew Lillard chosen
    Matthew Lillard is an American actor and director best known for his energetic, often comedic performances in films such as "Scream," "Scooby-Doo," and "Hackers."
  • B. David Arquette
    David Arquette is an American actor, filmmaker, and former professional wrestler best known for his role as Dewey Riley in the "Scream" horror film franchise.
  • C. Jason Wiles
    Jason Wiles is an American actor best known for his role as Officer Maurice "Bosco" Boscorelli on the television drama series "Third Watch."
  • D. David Matthew Macfadyen
    David Matthew Macfadyen is a British actor best known for his roles in the television series "Succession" and the 2005 film adaptation of "Pride & Prejudice."
  • E. Skeet Ulrich
    Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.