Triple

T9913309
Position Surface form Disambiguated ID Type / Status
Subject House of 1000 Corpses E185800 entity
Predicate distributor P1951 FINISHED
Object Lions Gate 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: Lions Gate Films | Statement: [House of 1000 Corpses, distributor, Lions Gate Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lions Gate Films
Context triple: [House of 1000 Corpses, distributor, Lions Gate 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. Lion's Gate Films
    Lion's Gate Films is an American independent film production and distribution company known for releasing a wide range of arthouse and genre films.
  • C. Myriad Pictures
    Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
  • D. 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.
  • E. 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.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ae315c8190bedb2cbab0982118 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:41 p.m.