Triple

T7325086
Position Surface form Disambiguated ID Type / Status
Subject Nomura E168849 entity
Predicate hasNotableBearer P458 FINISHED
Object Nomura Yūko E688437 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: Nomura Yūko | Statement: [Nomura, hasNotableBearer, Nomura Yūko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nomura Yūko
Context triple: [Nomura, hasNotableBearer, Nomura Yūko]
  • A. Nomura Yōko chosen
    Nomura Yōko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura, likely for contributions in a cultural, artistic, or public sphere.
  • B. Nomura Akiko
    Nomura Akiko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura, likely for achievements in fields such as arts, entertainment, or public life.
  • C. Kawashima Ayako
    Kawashima Ayako is a member of the Japanese Kawashima family, known primarily as the sister of Empress Kiko of Japan.
  • D. Koyama Mihoko
    Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
  • E. Shigeko Yuki
    Shigeko Yuki was a Japanese novelist and short story writer known for her psychologically nuanced portrayals of women’s lives in mid-20th-century 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f04993408190b73fb46d83a632d5 completed March 27, 2026, 9:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e56e62d48190b0e25464ebffe148 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 3:03 p.m.