Triple

T20192885
Position Surface form Disambiguated ID Type / Status
Subject Pokémon Trading Card Game E493016 entity
Predicate designer P184 FINISHED
Object Tomy Company 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: Tomy Company | Statement: [Pokémon Trading Card Game, designer, Tomy Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomy Company
Context triple: [Pokémon Trading Card Game, designer, Tomy Company]
  • A. Takara Tomy chosen
    Takara Tomy is a Japanese toy and entertainment company best known internationally for creating and producing the Transformers franchise and other popular toy lines.
  • B. U.S. Games Systems
    U.S. Games Systems is a publishing company best known for producing and distributing tarot and other divination and card decks.
  • C. MacMillan Toy Company
    MacMillan Toy Company is the fictional New York toy manufacturer featured in the film "Big," where the adult version of Josh Baskin works and helps design popular toys.
  • 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. 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.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad654648190a27521e6e8ea40c5 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.