Triple

T12716034
Position Surface form Disambiguated ID Type / Status
Subject Takeo Fukuda E303840 entity
Predicate spouse P13 FINISHED
Object Mie Fukuda
Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
E1015524 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: Mie Fukuda | Statement: [Takeo Fukuda, spouse, Mie Fukuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mie Fukuda
Context triple: [Takeo Fukuda, spouse, Mie Fukuda]
  • A. Yoshiko Morita
    Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
  • B. Kiyoko Fukuda
    Kiyoko Fukuda is the wife of former Japanese Prime Minister Yasuo Fukuda and a member of a prominent political family in Japan.
  • C. Yuriko Kikuchi
    Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
  • D. Yukiko Yamashita
    Yukiko Yamashita is a developmental biologist known for her research on stem cell biology and asymmetric cell division.
  • E. Makiko Tanaka
    Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
  • 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: Mie Fukuda
Triple: [Takeo Fukuda, spouse, Mie Fukuda]
Generated description
Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mie Fukuda
Target entity description: Mie Fukuda is best known as the wife of former Japanese Prime Minister Takeo Fukuda.
  • A. Yoshiko Morita
    Yoshiko Morita is best known as the wife of Akio Morita, the co-founder of Sony Corporation.
  • B. Kiyoko Fukuda
    Kiyoko Fukuda is the wife of former Japanese Prime Minister Yasuo Fukuda and a member of a prominent political family in Japan.
  • C. Yuriko Kikuchi
    Yuriko Kikuchi, better known professionally as Rinko Kikuchi, is a Japanese actress acclaimed for her roles in films such as "Babel" and "Pacific Rim."
  • D. Yukiko Yamashita
    Yukiko Yamashita is a developmental biologist known for her research on stem cell biology and asymmetric cell division.
  • E. Makiko Tanaka
    Makiko Tanaka is a Japanese politician and former foreign minister, known as the outspoken daughter of influential former Prime Minister Kakuei Tanaka.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0dace788190bf2663984801f38c completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c34532148190a0c609ff085e359c completed May 3, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69f6c3c6b240819099310f50cc7eabca completed May 3, 2026, 3:40 a.m.
Created at: April 9, 2026, 5:23 p.m.