Triple

T15424544
Position Surface form Disambiguated ID Type / Status
Subject Max Dennison E369472 entity
Predicate creator P184 FINISHED
Object Mick Garris E323387 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: Mick Garris | Statement: [Max Dennison, creator, Mick Garris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mick Garris
Context triple: [Max Dennison, creator, Mick Garris]
  • A. Mick Garris chosen
    Mick Garris is an American filmmaker and screenwriter best known for his work in the horror genre and for creating and directing numerous Stephen King adaptations for film and television.
  • B. Larry Fessenden
    Larry Fessenden is an American filmmaker, actor, and producer best known for his work in independent horror cinema and for founding the production company Glass Eye Pix.
  • C. Michael Flanagan
    Michael Flanagan is a common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
  • D. Jim Mickle
    Jim Mickle is an American filmmaker and television director known for his work in genre-bending horror and crime dramas, including co-creating and directing the series "Hap and Leonard."
  • E. Vincenzo Natali
    Vincenzo Natali is a Canadian filmmaker best known for directing the cult science fiction horror film "Cube" and other visually inventive genre movies.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a18c548190b8591776828c1793 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:20 a.m.