Triple

T15190888
Position Surface form Disambiguated ID Type / Status
Subject Never Back Down E363005 entity
Predicate productionCompany P490 FINISHED
Object Mandate Pictures E372939 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: Mandate Pictures | Statement: [Never Back Down, productionCompany, Mandate Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandate Pictures
Context triple: [Never Back Down, productionCompany, Mandate Pictures]
  • A. Mandate Pictures chosen
    Mandate Pictures is an American film production company known for producing independent and mid-budget feature films, including the fantasy-comedy drama "Stranger Than Fiction."
  • B. Myriad Pictures
    Myriad Pictures is an independent film production and distribution company known for handling a range of arthouse and specialty films.
  • C. Momentum Pictures
    Momentum Pictures is a UK-based film distribution company known for releasing a wide range of independent and award-winning movies.
  • D. Quadrant Pictures
    Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
  • E. Magnolia Pictures
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89797ac819090fb68bb5f2fad5c completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.