Triple

T22716425
Position Surface form Disambiguated ID Type / Status
Subject Mom and Dad (2017 film) E561743 entity
Predicate distributor P1951 FINISHED
Object Momentum Pictures NE NERFINISHED

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: [Mom and Dad (2017 film), distributor, Momentum Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momentum Pictures
Context triple: [Mom and Dad (2017 film), distributor, 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. Quadrant Pictures
    Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
  • E. Equity Pictures
    Equity Pictures is a film production company known for financing and producing a range of international motion pictures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790e14c88190af6acb27910ae9c1 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.