Triple

T6362704
Position Surface form Disambiguated ID Type / Status
Subject Vera Drake E143148 entity
Predicate distributedBy P1951 FINISHED
Object Momentum Pictures E15118 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: Momentum Pictures | Statement: [Vera Drake, distributedBy, Momentum Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momentum Pictures
Context triple: [Vera Drake, distributedBy, Momentum Pictures]
  • A. Momentum Pictures chosen
    Momentum Pictures is a UK-based film distribution company known for releasing a wide range of independent and award-winning movies.
  • B. Mandate Pictures
    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."
  • C. Magnolia Pictures
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
  • D. Maven Pictures
    Maven Pictures is an independent film production company known for producing character-driven, socially conscious movies.
  • E. Sycamore Pictures
    Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.