Triple

T16639302
Position Surface form Disambiguated ID Type / Status
Subject Utagawa school E404287 entity
Predicate hasMember P10 FINISHED
Object Utagawa Hiroshige III E87097 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: Utagawa Hiroshige III | Statement: [Utagawa school, hasMember, Utagawa Hiroshige III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utagawa Hiroshige III
Context triple: [Utagawa school, hasMember, Utagawa Hiroshige III]
  • A. Utagawa Hiroshige chosen
    Utagawa Hiroshige was a renowned Japanese ukiyo-e master best known for his poetic landscape prints, particularly the series "The Fifty-three Stations of the Tōkaidō."
  • B. Utagawa Toyohiro
    Utagawa Toyohiro was a Japanese ukiyo-e artist of the Utagawa school, known for his prints and paintings and for mentoring the famed landscape artist Utagawa Hiroshige.
  • C. Utagawa Toyoharu
    Utagawa Toyoharu was an influential late 18th-century Japanese ukiyo-e artist known for pioneering Western-style perspective in woodblock prints and founding the Utagawa school.
  • D. Kuniyoshi
    Kuniyoshi is a Japanese surname most notably associated with influential artists such as painter and printmaker Yasuo Kuniyoshi.
  • E. Kanekichi Yasui
    Kanekichi Yasui was a Japanese entrepreneur best known as the founder of the company that would grow into the global office equipment and electronics manufacturer Brother Industries.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37acff38081908c8044936b794ce0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf6507081909f6a49c003f9d6d6 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:18 a.m.