Triple

T1101795
Position Surface form Disambiguated ID Type / Status
Subject Taro Aso E24395 entity
Predicate mother P120 FINISHED
Object Kazuko Aso
Kazuko Aso was a Japanese woman best known as the mother of Taro Aso, who served as Prime Minister of Japan.
 E132611 NE FINISHED

How this triple was built (4 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: Kazuko Aso | Statement: [Taro Aso, mother, Kazuko Aso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kazuko Aso
Context triple: [Taro Aso, mother, Kazuko Aso]
  • A. Chikako Aso
    Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
  • B. Tsutako Nakasone
    Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
  • C. Hiroko Satō
    Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
  • D. Yuko Kishida
    Yuko Kishida is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, engaging in various diplomatic and public activities.
  • E. Inejiro Asanuma
    Inejiro Asanuma was a prominent Japanese socialist politician and pacifist who led the Japan Socialist Party until his high-profile assassination in 1960.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kazuko Aso
Triple: [Taro Aso, mother, Kazuko Aso]
Generated description
Kazuko Aso was a Japanese woman best known as the mother of Taro Aso, who served as Prime Minister of Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kazuko Aso
Target entity description: Kazuko Aso was a Japanese woman best known as the mother of Taro Aso, who served as Prime Minister of Japan.
  • A. Chikako Aso
    Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
  • B. Tsutako Nakasone
    Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
  • C. Hiroko Satō
    Hiroko Satō was the wife of Eisaku Satō, the Japanese prime minister and Nobel Peace Prize laureate.
  • D. Yuko Kishida
    Yuko Kishida is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, engaging in various diplomatic and public activities.
  • E. Inejiro Asanuma
    Inejiro Asanuma was a prominent Japanese socialist politician and pacifist who led the Japan Socialist Party until his high-profile assassination in 1960.
  • F. None of above. chosen

Provenance (5 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c21c2c8190a34d91a7afed23a9 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea6cc888190b06f640a1e4a5147 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f15c2808190905e40c6db9d957c completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac633749008190bae63644d5ee7cea completed March 7, 2026, 5:41 p.m.
Created at: March 1, 2026, 7:43 p.m.