Triple

T11046693
Position Surface form Disambiguated ID Type / Status
Subject Braindead E261153 entity
Predicate distributor P1951 FINISHED
Object Trimark Pictures E461768 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: Trimark Pictures | Statement: [Braindead, distributor, Trimark Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trimark Pictures
Context triple: [Braindead, distributor, Trimark Pictures]
  • A. Trimark Pictures chosen
    Trimark Pictures was an American independent film production and distribution company known for releasing low- to mid-budget genre films, including horror and science fiction titles, during the late 1980s and 1990s.
  • B. 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."
  • C. Transatlantic Pictures
    Transatlantic Pictures was a short-lived film production company co-founded by Alfred Hitchcock and Sidney Bernstein in the late 1940s to produce Hitchcock-directed features.
  • D. Konrad Pictures
    Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798307da481908996557a73c9b49a completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9fad8248190810e097d148655f5 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.