Triple

T13590967
Position Surface form Disambiguated ID Type / Status
Subject Kawakami E324689 entity
Predicate hasNotableBearer P458 FINISHED
Object Kawakami Yū (writer) E324689 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: Kawakami Yū (writer) | Statement: [Kawakami, hasNotableBearer, Kawakami Yū (writer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawakami Yū (writer)
Context triple: [Kawakami, hasNotableBearer, Kawakami Yū (writer)]
  • A. Kawakami chosen
    Kawakami is a Japanese surname borne by various notable individuals across fields such as sports, arts, and entertainment.
  • B. Kawabe Masakazu
    Kawabe Masakazu was a Japanese general in the Imperial Japanese Army during World War II, known for leading major operations in the Burma campaign against Allied forces.
  • C. Masataka Kōno (writer)
    Masataka Kōno is a Japanese writer known for his contributions to contemporary Japanese literature.
  • D. Yoshimoto
    Yoshimoto is a Japanese given name historically borne by notable samurai and daimyō, including the Sengoku-period warlord Imagawa Yoshimoto.
  • E. Okamura Yuki
    Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc578908190abd5cca94b1c3a5c completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.