Triple

T21886205
Position Surface form Disambiguated ID Type / Status
Subject Prince Higashikuni E540410 entity
Predicate parent P120 FINISHED
Object Lady Tsuneko NE NERFINISHED

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: Lady Tsuneko | Statement: [Prince Higashikuni, parent, Lady Tsuneko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Tsuneko
Context triple: [Prince Higashikuni, parent, Lady Tsuneko]
  • A. Lady Tsuneko Sugiura chosen
    Lady Tsuneko Sugiura was a Japanese noblewoman best known as the mother of Prince Naruhiko Higashikuni, who briefly served as Prime Minister of Japan at the end of World War II.
  • B. Totsuko
    Totsuko is the former abbreviated name of Tokyo Tsushin Kogyo, the Japanese company that later became Sony.
  • C. Kushi Inada Hime
    Kushi Inada Hime is a goddess from Japanese mythology, best known as the wife of the storm god Susanoo and the rescued maiden in the Yamata no Orochi legend.
  • D. Lady Kiritsubo
    Lady Kiritsubo is a low-ranking but beloved consort of the emperor and the mother of Hikaru Genji in Murasaki Shikibu’s classic Japanese novel "The Tale of Genji."
  • E. Shinobu
    Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118ec147481908903e2f24e049d8f completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.