Triple

T7784078
Position Surface form Disambiguated ID Type / Status
Subject Takeo Miki E187196 entity
Predicate succeededBy P78 FINISHED
Object Takeo Fukuda E303840 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: Takeo Fukuda | Statement: [Takeo Miki, succeededBy, Takeo Fukuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeo Fukuda
Context triple: [Takeo Miki, succeededBy, Takeo Fukuda]
  • A. Takeo Fukuda chosen
    Takeo Fukuda was a Japanese Liberal Democratic Party politician who served as Prime Minister of Japan from 1976 to 1978.
  • B. Takeo Fujisawa
    Takeo Fujisawa was a Japanese businessman who played a pivotal role in building Honda into a global automotive and motorcycle powerhouse through his leadership and management expertise.
  • C. Hiroshi Satō
    Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
  • D. Yoshihiko Miyauchi
    Yoshihiko Miyauchi is a Japanese businessman best known for building Orix Corporation into a major global financial services group and serving as its long-time leader.
  • E. Takeo Doi
    Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf210f508190b215a0ab95192689 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e2cd9cc8190accfefed5eaa0b07 completed April 3, 2026, 7:37 a.m.
Created at: March 30, 2026, 4:22 p.m.