Triple

T5306747
Position Surface form Disambiguated ID Type / Status
Subject Bonecrusher E120120 entity
Predicate createdBy P806 FINISHED
Object Takara Tomy E454306 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: Takara Tomy | Statement: [Bonecrusher, createdBy, Takara Tomy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takara Tomy
Context triple: [Bonecrusher, createdBy, Takara Tomy]
  • 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. Toyopa Group, LLC
    Toyopa Group, LLC is the original corporate name under which the company now known as Snap Inc., the parent of Snapchat, was first established.
  • C. Kawada Industries
    Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
  • D. Toyoda Gosei Co., Ltd.
    Toyoda Gosei Co., Ltd. is a Japanese automotive parts manufacturer known for producing rubber and plastic components, safety systems, and LEDs, and is closely affiliated with the Toyota Group.
  • E. Tokyo Denki
    Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851ee8908190814b695723247016 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10fb59ac8190ad23ea4f77a8c0e7 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.