Triple

T22094442
Position Surface form Disambiguated ID Type / Status
Subject Aakrosh E545988 entity
Predicate movement P81 FINISHED
Object Parallel Cinema 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: Parallel Cinema | Statement: [Aakrosh, movement, Parallel Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parallel Cinema
Context triple: [Aakrosh, movement, Parallel Cinema]
  • A. Parallel Films
    Parallel Films is an Irish film production company known for producing independent and arthouse features, including Neil Jordan’s "Breakfast on Pluto."
  • B. parallel cinema chosen
    Parallel cinema is an Indian film movement known for its realistic, socially conscious, and artistically driven alternative to mainstream commercial Bollywood cinema.
  • C. Cinema 5
    Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
  • D. Cinema Verity
    Cinema Verity was a British independent television and film production company founded by influential producer Verity Lambert, known for creating a range of acclaimed dramas and comedies.
  • E. Direct Cinema
    Direct Cinema is a documentary filmmaking movement characterized by unobtrusive, observational techniques that aim to capture reality as it unfolds without scripted narration or interference.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.