Triple

T11989660
Position Surface form Disambiguated ID Type / Status
Subject Kegon E285371 entity
Predicate hasImportantFigure P1183 FINISHED
Object Gyōki E266796 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: Gyōki | Statement: [Kegon, hasImportantFigure, Gyōki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyōki
Context triple: [Kegon, hasImportantFigure, Gyōki]
  • A. Gyōki chosen
    Gyōki was an influential Japanese Buddhist monk of the Nara period known for his public works, social welfare activities, and role in promoting Buddhism among the common people.
  • B. Kukai
    Kūkai was a Japanese Buddhist monk, scholar, poet, and calligrapher who founded the Shingon (Esoteric) school of Buddhism in Japan during the early Heian period.
  • C. Saichō
    Saichō was a Japanese Buddhist monk of the early Heian period who introduced and established the Tendai school in Japan after studying Tiantai Buddhism in China.
  • D. Zentsuji
    Zentsuji is a historic city in Japan known as the birthplace of the Buddhist monk Kūkai and home to the famous Zentsū-ji Temple, one of the 88 temples on the Shikoku Pilgrimage.
  • E. Hōnen
    Hōnen was a Japanese Buddhist priest who founded the Jōdo-shū (Pure Land) school and popularized exclusive nembutsu practice as the primary path to salvation.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903afe4388190a2cf2328e85adf9b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.