Triple

T21162665
Position Surface form Disambiguated ID Type / Status
Subject Transformers (2009 film toyline and related media) E521479 entity
Predicate publisher P29 FINISHED
Object TakaraTomy 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: TakaraTomy | Statement: [Transformers (2009 film toyline and related media), publisher, TakaraTomy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TakaraTomy
Context triple: [Transformers (2009 film toyline and related media), publisher, TakaraTomy]
  • 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. Tec Toy
    Tec Toy is a Brazilian electronics and video game company best known for localizing, manufacturing, and popularizing Sega consoles and games in Brazil.
  • D. Takara
    Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
  • E. 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.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72532e9348190ad37fe858843d0f5 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.