Triple

T16457578
Position Surface form Disambiguated ID Type / Status
Subject 50/50 E399720 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: [50/50, productionCompany, Mandate Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandate Pictures
Context triple: [50/50, 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005817fa088190a0eb85016fe5afc4 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.