Triple

T15399446
Position Surface form Disambiguated ID Type / Status
Subject Recruit scandal E368270 entity
Predicate participant P858 FINISHED
Object Noboru Takeshita E74970 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: Noboru Takeshita | Statement: [Recruit scandal, participant, Noboru Takeshita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noboru Takeshita
Context triple: [Recruit scandal, participant, Noboru Takeshita]
  • A. Noboru Takeshita chosen
    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.
  • B. Takeshita Hiroshi
    Takeshita Hiroshi is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Takeshita.
  • 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. Takeshita Konosuke
    Takeshita Konosuke is a notable individual distinguished by bearing the Japanese surname Takeshita.
  • E. Hirofumi Nakasone
    Hirofumi Nakasone is a Japanese politician who has served in the House of Councillors and held cabinet posts including Minister for Foreign Affairs.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff755ffbdc8190825010885e68ebc3 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 3:19 a.m.