Triple

T3116567
Position Surface form Disambiguated ID Type / Status
Subject Basic Instinct E65075 entity
Predicate productionCompany P490 FINISHED
Object Carolco Pictures E296913 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: Carolco Pictures | Statement: [Basic Instinct, productionCompany, Carolco Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolco Pictures
Context triple: [Basic Instinct, 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. Capstone Pictures
    Capstone Pictures is a film production company best known for producing the crime thriller "Lucky Number Slevin."
  • C. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
  • D. Sycamore Pictures
    Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
  • E. TriStar Pictures
    TriStar Pictures is an American film production and distribution studio known for releasing a wide range of popular Hollywood movies since 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e5d1488190a2ab199625fdf05d completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.