Triple

T22039558
Position Surface form Disambiguated ID Type / Status
Subject Mattel E544302 entity
Predicate owns P347 FINISHED
Object Fisher-Price 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: Fisher-Price | Statement: [Mattel, owns, Fisher-Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fisher-Price
Context triple: [Mattel, owns, Fisher-Price]
  • A. Fisher-Price chosen
    Fisher-Price is a renowned American toy company best known for its durable, educational toys and playsets designed for infants and young children.
  • B. Tyco Toys
    Tyco Toys was a prominent American toy company known for its slot cars, radio-controlled vehicles, and other popular children’s toys before being acquired by Mattel in the 1990s.
  • C. Wham-O
    Wham-O is an American toy company best known for creating iconic outdoor products such as the Frisbee, Hula Hoop, and Slip ’N Slide.
  • D. 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.
  • E. Spin Master Entertainment
    Spin Master Entertainment is the television and film production division of Spin Master, best known for creating and producing the popular children's franchise PAW Patrol.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f532b08190be80c5af039b4c29 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.