Triple

T16099894
Position Surface form Disambiguated ID Type / Status
Subject Matewan E390586 entity
Predicate distributor P1951 FINISHED
Object Cinecom Pictures E117457 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: Cinecom Pictures | Statement: [Matewan, distributor, Cinecom Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinecom Pictures
Context triple: [Matewan, distributor, Cinecom Pictures]
  • A. Cinecom Entertainment Group chosen
    Cinecom Entertainment Group was an American independent film distribution company known for releasing acclaimed art-house and foreign films during the 1980s and early 1990s.
  • B. Cinergi Pictures
    Cinergi Pictures was an independent American film production company active in the 1990s, known for producing big-budget Hollywood films across various genres.
  • C. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • D. Quadrant Pictures
    Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
  • E. Empire Pictures
    Empire Pictures was an independent American film production and distribution company best known for low-budget horror, fantasy, and science fiction movies in the 1980s.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79a96d08190af69cbb18037f66e completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.