Triple

T17438207
Position Surface form Disambiguated ID Type / Status
Subject Nobody Knows E424065 entity
Predicate productionCompany P490 FINISHED
Object Engine Film NE NERFINISHED

How this triple was built (3 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: Engine Film | Statement: [Nobody Knows, productionCompany, Engine Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engine Film
Context triple: [Nobody Knows, productionCompany, Engine Film]
  • A. FilmEngine
    FilmEngine is an American film production company known for developing and producing feature films such as the crime thriller "Lucky Number Slevin."
  • B. Feel Films
    Feel Films is a British film and television production company known for producing high-quality literary and genre adaptations.
  • C. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • D. Making Movies
    Making Movies is a widely respected memoir and craft-focused book in which acclaimed film director Sidney Lumet explains his practical approach to filmmaking.
  • E. AI-Film
    AI-Film is a film production company known for its involvement in notable independent and biographical movies such as "I, Tonya."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Engine Film
Target entity description: Engine Film is a Japanese film production company known for producing independent and art-house movies.
  • A. FilmEngine
    FilmEngine is an American film production company known for developing and producing feature films such as the crime thriller "Lucky Number Slevin."
  • B. Feel Films
    Feel Films is a British film and television production company known for producing high-quality literary and genre adaptations.
  • C. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • D. Making Movies
    Making Movies is a widely respected memoir and craft-focused book in which acclaimed film director Sidney Lumet explains his practical approach to filmmaking.
  • E. AI-Film
    AI-Film is a film production company known for its involvement in notable independent and biographical movies such as "I, Tonya."
  • F. None of above. chosen

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff584cc81908207c163f19ff972 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.