Triple

T3566809
Position Surface form Disambiguated ID Type / Status
Subject Tsutako Nakasone E75468 entity
Predicate name P16 FINISHED
Object Tsutako Nakasone E75468 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: Tsutako Nakasone | Statement: [Tsutako Nakasone, name, Tsutako Nakasone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsutako Nakasone
Context triple: [Tsutako Nakasone, name, Tsutako Nakasone]
  • A. Tsutako Nakasone chosen
    Tsutako Nakasone was the wife of former Japanese Prime Minister Yasuhiro Nakasone and a member of a prominent Japanese political family.
  • B. Chikako Aso
    Chikako Aso is the wife of Japanese politician and former Prime Minister Taro Aso.
  • C. Yoshiko Aso
    Yoshiko Aso is a member of the prominent Aso political and business family in Japan, known for her familial connection to former Prime Minister Taro Aso.
  • D. 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.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4d974f081909c98ddaf55aab8cc completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:21 p.m.