Triple

T5823016
Position Surface form Disambiguated ID Type / Status
Subject Seven Seconds E129153 entity
Predicate productionCompany P490 FINISHED
Object Original Film E197204 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: Original Film | Statement: [Seven Seconds, productionCompany, Original Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Original Film
Context triple: [Seven Seconds, productionCompany, Original Film]
  • A. Original Film chosen
    Original Film is an American film production company best known for producing the Fast & Furious franchise and other major Hollywood action movies.
  • B. Film Form
    Film Form is a seminal collection of essays by Soviet filmmaker Sergei Eisenstein that articulates his influential theories of montage and cinematic structure.
  • C. Film Independent
    Film Independent is a nonprofit arts organization that champions independent filmmaking and filmmakers through awards, education, and year-round programs.
  • D. Film Vault
    Film Vault is a themed retail shop at Universal Studios Florida that sells movie-related merchandise inspired by classic and popular Universal films.
  • E. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341715bc81909568b00ccc79869d completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985ab01c8190ac03cb95427c688d completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.