Triple

T4123385
Position Surface form Disambiguated ID Type / Status
Subject Godzilla E92665 entity
Predicate creator P184 FINISHED
Object Toho Co., Ltd. E224773 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: Toho Co., Ltd. | Statement: [Godzilla, creator, Toho Co., Ltd.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toho Co., Ltd.
Context triple: [Godzilla, creator, Toho Co., Ltd.]
  • A. Toho chosen
    Toho is a major Japanese film production and distribution company best known worldwide for creating and owning the Godzilla franchise.
  • B. Daiei
    Daiei is a Japanese retail corporation that formerly owned the professional baseball team now known as the Fukuoka SoftBank Hawks.
  • C. Takenaka Corporation
    Takenaka Corporation is a major Japanese architecture, engineering, and construction firm known for designing and building prominent structures domestically and internationally.
  • D. Aisin Corporation
    Aisin Corporation is a major Japanese automotive parts manufacturer best known as a key supplier of transmissions and other components within the Toyota Group.
  • E. Taisei Corporation
    Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020728a08190a50a16b40690cbce completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b405548190affdd8bb108995b1 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.