Triple

T22022810
Position Surface form Disambiguated ID Type / Status
Subject Mattel, Inc. E543883 entity
Predicate hasDivision P35 FINISHED
Object Mattel 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: Mattel Films | Statement: [Mattel, Inc., hasDivision, Mattel Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattel Films
Context triple: [Mattel, Inc., hasDivision, Mattel Films]
  • A. Mattel Films chosen
    Mattel Films is the film production division of the toy company Mattel, responsible for developing and producing movies based on its toy and game brands.
  • B. Mattel Interactive
    Mattel Interactive was the video game publishing division of the toy company Mattel, known for releasing games based on its popular toy and entertainment franchises.
  • C. Paramount Animation
    Paramount Animation is the animation division of Paramount Pictures, responsible for producing and developing the studio’s animated feature films.
  • D. MGM Animation
    MGM Animation is the animation division associated with Metro-Goldwyn-Mayer, known for producing animated films and television content based on the studio’s classic properties.
  • E. DreamWorks Pictures
    DreamWorks Pictures is a major American film production and distribution company co-founded by Steven Spielberg, known for producing and releasing a wide range of popular and critically acclaimed 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.