Triple

T11169039
Position Surface form Disambiguated ID Type / Status
Subject Trevor Reznik E264227 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Stevie E908793 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: Stevie | Statement: [Trevor Reznik, hasRelationshipWith, Stevie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stevie
Context triple: [Trevor Reznik, hasRelationshipWith, Stevie]
  • A. Stevie
    Stevie is a common diminutive or nickname for the given name Stephen.
  • B. Stevie
    Stevie is a biographical film about British poet and playwright Stevie Smith, adapted from Hugh Whitemore’s play and starring Glenda Jackson in the title role.
  • C. Stevie chosen
    Stevie is a compassionate yet troubled supporting character in the psychological thriller film "The Machinist," who becomes emotionally entangled with the insomniac protagonist Trevor Reznik.
  • D. Stevie J
    Stevie J is an American record producer and television personality best known for his influential work with Bad Boy Records in the 1990s and his appearances on the reality series "Love & Hip Hop: Atlanta."
  • E. Stevie Wayne
    Stevie Wayne is the late-night radio DJ and lighthouse operator who serves as a central protagonist and eerie narrator figure in John Carpenter’s horror film "The Fog."
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.