Triple

T22022613
Position Surface form Disambiguated ID Type / Status
Subject View-Master E543879 entity
Predicate laterManufacturer P25149 FINISHED
Object Mattel 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 | Statement: [View-Master, laterManufacturer, Mattel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattel
Context triple: [View-Master, laterManufacturer, 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 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. 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.
  • D. Kenner Products
    Kenner Products was an American toy company best known for producing popular licensed toy lines such as the original Star Wars action figures.
  • E. 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.
  • 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.