Triple

T17911112
Position Surface form Disambiguated ID Type / Status
Subject Naruto E447819 entity
Predicate englishPublisher P20926 FINISHED
Object Viz Media 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: Viz Media | Statement: [Naruto, englishPublisher, Viz Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viz Media
Context triple: [Naruto, englishPublisher, Viz Media]
  • A. Viz Media chosen
    Viz Media is a major North American entertainment company and publisher specializing in translating, localizing, and distributing Japanese manga and anime.
  • B. Viz Productions
    Viz Productions is a film production company known for working on major Hollywood projects such as the science fiction action movie "Edge of Tomorrow."
  • C. Sentai Filmworks
    Sentai Filmworks is an American anime licensing and distribution company known for releasing a wide range of Japanese animated series and films in North America.
  • D. Shueisha
    Shueisha is a major Japanese publishing company best known for producing popular manga magazines such as Weekly Shōnen Jump.
  • E. Kadokawa Pictures
    Kadokawa Pictures is a Japanese film production and distribution company known for producing genre films, including kaiju movies like "Guardian of the Universe," as well as adaptations of popular novels and manga.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea017d081908be850a39edf601f completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.