Triple

T18912694
Position Surface form Disambiguated ID Type / Status
Subject Autobots E462645 entity
Predicate createdBy P806 FINISHED
Object Takara Tomy 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: Takara Tomy | Statement: [Autobots, createdBy, Takara Tomy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takara Tomy
Context triple: [Autobots, 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. Urabandai
    Urabandai is a scenic highland area in Fukushima Prefecture, Japan, known for its volcanic landscapes, lakes, and colorful Goshikinuma ponds.
  • C. Bandai-san
    Bandai-san is a prominent stratovolcano in Fukushima Prefecture, Japan, known for its scenic beauty, hiking trails, and the surrounding lake district formed by past eruptions.
  • D. 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.
  • E. Bandai Entertainment
    Bandai Entertainment was an American anime licensing and distribution company known for bringing numerous popular Japanese animated series and films to North American audiences.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c624516c81909e6bf04707d3c71c completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.