Triple

T13070132
Position Surface form Disambiguated ID Type / Status
Subject Anpanman picture books E329433 entity
Predicate featureCharacter P23263 FINISHED
Object Baikinman E1025902 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: Baikinman | Statement: [Anpanman picture books, featureCharacter, Baikinman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baikinman
Context triple: [Anpanman picture books, featureCharacter, Baikinman]
  • A. Baikinman chosen
    Baikinman is the main villain in the Japanese children's anime and manga series "Anpanman," known for his germ-themed schemes and constant battles against the hero Anpanman.
  • B. Kishimadake
    Kishimadake is one of the volcanic cones forming part of Japan’s Mount Aso, one of the world’s largest active caldera volcanoes.
  • C. Minamidake
    Minamidake is one of the principal active summit craters of the Sakurajima volcano in Kagoshima Prefecture, Japan.
  • D. Kobuchizawa
    Kobuchizawa is a town in Yamanashi Prefecture, Japan, known as a gateway to the Yatsugatake Mountains and surrounding highland resort areas.
  • E. Raikō-tō
    Raikō-tō is the Japanese name for Raikoke, an uninhabited volcanic island in Russia’s Kuril Islands chain known for its explosive eruptions.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9 p.m.