Triple

T11320132
Position Surface form Disambiguated ID Type / Status
Subject Vincenzo Natali E268070 entity
Predicate name P16 FINISHED
Object Vincenzo Natali E268070 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: Vincenzo Natali | Statement: [Vincenzo Natali, name, Vincenzo Natali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincenzo Natali
Context triple: [Vincenzo Natali, name, Vincenzo Natali]
  • A. Vincenzo Natali chosen
    Vincenzo Natali is a Canadian filmmaker best known for directing the cult science fiction horror film "Cube" and other visually inventive genre movies.
  • B. Mick Garris
    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.
  • C. Ken Biller
    Ken Biller is a television writer, producer, and director best known for his work on series such as "Star Trek: Voyager" and "Genius."
  • D. 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.
  • E. Michael Flanagan
    Michael Flanagan is a common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.