Triple

T16429392
Position Surface form Disambiguated ID Type / Status
Subject Noh theatre E399032 entity
Predicate codifiedBy P1115 FINISHED
Object Zeami Motokiyo E279373 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: Zeami Motokiyo | Statement: [Noh theatre, codifiedBy, Zeami Motokiyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeami Motokiyo
Context triple: [Noh theatre, codifiedBy, Zeami Motokiyo]
  • A. Zeami Motokiyo chosen
    Zeami Motokiyo was a seminal Japanese playwright, actor, and theorist who systematized and elevated Noh theatre into a refined classical art form.
  • B. Ō no Yasumaro
    Ō no Yasumaro was an early 8th-century Japanese noble and scholar best known for compiling the Kojiki, one of Japan’s oldest extant chronicles of myths, legends, and early history.
  • C. Kan'ami
    Kan'ami was a 14th-century Japanese actor, playwright, and director who helped shape and popularize Noh theatre, laying the foundations for its classical form.
  • D. Okamura Yasuji
    Okamura Yasuji was a senior Imperial Japanese Army general who played a leading role in Japan’s military campaigns in China during the Second Sino-Japanese War.
  • E. Ihara Saikaku
    Ihara Saikaku was a pioneering Japanese author of the Edo period, best known for his witty, realistic portrayals of urban merchant life and the pleasure quarters.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fd49708190abb5065fa430eff1 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058143cb88190943b951cc8e47a66 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:09 a.m.