Triple

T22713164
Position Surface form Disambiguated ID Type / Status
Subject Leviathan (1989 film) E561654 entity
Predicate productionCompany P490 FINISHED
Object Carolco 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: Carolco Pictures | Statement: [Leviathan (1989 film), productionCompany, Carolco Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolco Pictures
Context triple: [Leviathan (1989 film), productionCompany, Carolco Pictures]
  • A. Carolco Pictures chosen
    Carolco Pictures was an American independent film production company best known for big-budget action movies in the 1980s and early 1990s, including the Rambo and Terminator franchises.
  • 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. Konrad Pictures
    Konrad Pictures is a film production company known for working on the romantic fantasy movie "Kate & Leopold."
  • D. Tri-Star Pictures
    Tri-Star Pictures is an American film production and distribution company known for releasing a wide range of Hollywood movies since the 1980s.
  • E. Riverstone Pictures
    Riverstone Pictures is a film production company known for financing and producing independent and mid-budget feature films across various genres.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ab6208190a342f076002324ab completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.