Triple

T9818788
Position Surface form Disambiguated ID Type / Status
Subject Nobuteru Ishihara E238474 entity
Predicate name P16 FINISHED
Object Nobuteru Ishihara E238474 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: Nobuteru Ishihara | Statement: [Nobuteru Ishihara, name, Nobuteru Ishihara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobuteru Ishihara
Context triple: [Nobuteru Ishihara, name, Nobuteru Ishihara]
  • A. Nobuteru Ishihara chosen
    Nobuteru Ishihara is a Japanese politician from the Liberal Democratic Party who has served in the House of Representatives and held cabinet positions including Minister of the Environment.
  • B. Shigeru Satō
    Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
  • C. Akira Satō
    Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
  • D. Noboru Takeshita
    Noboru Takeshita was a Japanese politician who served as Prime Minister in the late 1980s and was a key power broker within the Liberal Democratic Party.
  • E. Hiroshi Satō
    Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eacbc2348190bac1cc7f41a389b9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:31 p.m.