Triple

T22428236
Position Surface form Disambiguated ID Type / Status
Subject Wonder (film) E554427 entity
Predicate productionCompany P490 FINISHED
Object Mandeville 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: Mandeville Films | Statement: [Wonder (film), productionCompany, Mandeville Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandeville Films
Context triple: [Wonder (film), productionCompany, Mandeville Films]
  • A. Mandeville Films chosen
    Mandeville Films is an American film and television production company known for producing a range of commercially successful and critically acclaimed movies and series.
  • B. Vinson Films
    Vinson Films is a film production company known for producing the 2019 horror-comedy thriller "Ready or Not."
  • C. Maddock Films
    Maddock Films is an Indian film production company known for backing popular Hindi movies across genres, including comedies, thrillers, and offbeat dramas.
  • D. Maverick Films
    Maverick Films is a film production company known for backing independent and genre-driven movies, including the crime comedy-drama "Gridlock'd."
  • E. Centropolis Film Productions
    Centropolis Film Productions is a film production company co-founded by director Roland Emmerich, known for producing large-scale science fiction and disaster movies.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2f054c819093fbe173c8a4a544 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.