Triple

T14191120
Position Surface form Disambiguated ID Type / Status
Subject Paid in Full (film) E351714 entity
Predicate productionCompany P490 FINISHED
Object Dimension Films E48906 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: Dimension Films | Statement: [Paid in Full (film), productionCompany, Dimension Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimension Films
Context triple: [Paid in Full (film), productionCompany, Dimension Films]
  • A. Dimension Films chosen
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • B. Integral Films
    Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
  • C. Dimension Pictures
    Dimension Pictures was an American independent film production and distribution company known for releasing low-budget exploitation and genre films in the 1970s.
  • D. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193f85e88190b37a37747ec9d019 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.