Triple

T5752010
Position Surface form Disambiguated ID Type / Status
Subject Gloria (Barbie 2023 character) E126874 entity
Predicate employer P7 FINISHED
Object Mattel E544302 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: Mattel | Statement: [Gloria (Barbie 2023 character), employer, Mattel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattel
Context triple: [Gloria (Barbie 2023 character), employer, Mattel]
  • A. Hasbro
    Hasbro is a major American toy and entertainment company known for creating and owning popular brands such as Transformers, My Little Pony, and Monopoly.
  • B. Mattel (intellectual property context) chosen
    Mattel is a major American toy and entertainment company best known for creating and owning the Barbie brand and its associated fictional universe.
  • C. Mattel Films
    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.
  • D. Takara Tomy
    Takara Tomy is a Japanese toy and entertainment company best known internationally for creating and producing the Transformers franchise and other popular toy lines.
  • E. Newell Brands
    Newell Brands is a global consumer goods company known for its wide portfolio of household, writing, and outdoor product brands such as Rubbermaid, Sharpie, and Coleman.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3416d3c8190a64d3f4946b84d4b completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:48 p.m.