Triple

T2688594
Position Surface form Disambiguated ID Type / Status
Subject Shigeyoshi Inoue E57542 entity
Predicate name P16 FINISHED
Object Shigeyoshi Inoue E57542 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: Shigeyoshi Inoue | Statement: [Shigeyoshi Inoue, name, Shigeyoshi Inoue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shigeyoshi Inoue
Context triple: [Shigeyoshi Inoue, name, Shigeyoshi Inoue]
  • A. Shigeyoshi Inoue chosen
    Shigeyoshi Inoue was an admiral in the Imperial Japanese Navy during World War II, noted for his leadership in early Pacific naval operations.
  • B. Yoshinori Sakai
    Yoshinori Sakai was a Japanese track athlete symbolically chosen to light the cauldron at the 1964 Tokyo Olympics because he was born in Hiroshima on the day the atomic bomb was dropped.
  • C. Hirofumi Yoshimura
    Hirofumi Yoshimura is a Japanese politician who serves as the governor of Osaka Prefecture and is a prominent figure in regional reform politics.
  • D. Masahiro Hirakubo
    Masahiro Hirakubo is a Japanese film editor best known for his work on acclaimed films such as "Trainspotting" and "The Beach."
  • E. Tatsuhiko Kawashima
    Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f1ba3081909a349a2f30f8f9c9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69be8195518081908f4938032218e118 completed March 21, 2026, 11:31 a.m.
Created at: March 6, 2026, 9:54 p.m.