Triple

T13481586
Position Surface form Disambiguated ID Type / Status
Subject Strange Brew E318384 entity
Predicate writer P1360 FINISHED
Object Steve De Jarnatt E887097 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: Steve De Jarnatt | Statement: [Strange Brew, writer, Steve De Jarnatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve De Jarnatt
Context triple: [Strange Brew, writer, Steve De Jarnatt]
  • A. Steve De Jarnatt chosen
    Steve De Jarnatt is an American filmmaker and screenwriter best known for his cult 1988 apocalyptic thriller "Miracle Mile" and the noir sci-fi film "Cherry 2000."
  • B. Mike Dailey
    Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
  • C. Phil DeGuere
    Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
  • D. Phil DeVoss
    Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
  • E. Steve Traxler
    Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b543308190a86e715106641484 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:42 p.m.