Triple

T6056115
Position Surface form Disambiguated ID Type / Status
Subject Shinzo Abe E134913 entity
Predicate mother P120 FINISHED
Object Yoko Abe E134913 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: Yoko Abe | Statement: [Shinzo Abe, mother, Yoko Abe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yoko Abe
Context triple: [Shinzo Abe, mother, Yoko Abe]
  • A. Yoko Abe chosen
    Yoko Abe is a Japanese political figure and member of a prominent political family, known as the wife of former Prime Minister Shintaro Abe and mother of former Prime Minister Shinzo Abe.
  • B. Miyuki Hatoyama
    Miyuki Hatoyama is a Japanese former actress and television personality known for her unconventional, spiritual views and high-profile role as the wife of former Prime Minister Yukio Hatoyama.
  • C. Haruka Satō
    Haruka Satō is a Japanese individual notable enough to be recognized as a bearer of the common surname Satō.
  • D. Ayako Satō
    Ayako Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
  • E. Kazuko Aso
    Kazuko Aso was a Japanese woman best known as the mother of Taro Aso, who served as Prime Minister of Japan.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570bf01c8190a8b2c25b7805d403 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1251d9bbc8190b9544e93dc268787 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:09 p.m.