Triple

T2129557
Position Surface form Disambiguated ID Type / Status
Subject My Bloody Valentine 3D E46504 entity
Predicate distributor P1951 FINISHED
Object Lionsgate Films E75454 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: Lionsgate Films | Statement: [My Bloody Valentine 3D, distributor, Lionsgate Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionsgate Films
Context triple: [My Bloody Valentine 3D, distributor, Lionsgate Films]
  • A. Lionsgate chosen
    Lionsgate is a major North American entertainment company and film studio known for producing and distributing a wide range of popular movies and television series.
  • B. Hollywood Pictures
    Hollywood Pictures was a film production label of The Walt Disney Company that focused on releasing more mature and genre-oriented movies during the 1990s.
  • C. New Line Cinema
    New Line Cinema is a major American film production and distribution company known for franchises like The Lord of the Rings and A Nightmare on Elm Street.
  • D. Gambit Pictures
    Gambit Pictures is a film production company known for working on the science-fiction romantic thriller "The Adjustment Bureau."
  • E. Columbia Pictures
    Columbia Pictures is a historic American film studio that rose to prominence during Hollywood’s Golden Age and became one of the industry’s leading producers and distributors of motion pictures.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0808b84819082ab92dd0547a4c4 completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:44 p.m.