Triple

T18755436
Position Surface form Disambiguated ID Type / Status
Subject Bird Box E458635 entity
Predicate productionCompany P490 FINISHED
Object Bluegrass Films 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: Bluegrass Films | Statement: [Bird Box, productionCompany, Bluegrass Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluegrass Films
Context triple: [Bird Box, productionCompany, Bluegrass Films]
  • A. Bluegrass Films chosen
    Bluegrass Films is an American film and television production company known for producing major Hollywood features, including the satirical disaster comedy "Don't Look Up."
  • B. Grass Root Film Company
    Grass Root Film Company is an Indian film production house known for backing acclaimed Tamil-language films, established by director Vetrimaaran.
  • C. Pearl Street Films
    Pearl Street Films is a film and television production company co-founded by actors Ben Affleck and Matt Damon, known for producing a range of high-profile projects.
  • D. Blackbird Films
    Blackbird Films is a film production company known for helping produce the surreal indie comedy-drama "Swiss Army Man."
  • E. Blackbird Films
    Blackbird Films is a film production company known for producing the critically acclaimed drama "The Tale."
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.