Triple

T20567330
Position Surface form Disambiguated ID Type / Status
Subject Tiantai school E504997 entity
Predicate keyFigure P256 FINISHED
Object Saichō NE NERFINISHED

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: Saichō | Statement: [Tiantai school, keyFigure, Saichō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saichō
Context triple: [Tiantai school, keyFigure, Saichō]
  • A. Saichō chosen
    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.
  • 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. Gyōki
    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.
  • D. Keizan Jōkin
    Keizan Jōkin was a seminal Japanese Sōtō Zen master credited with greatly expanding the school’s institutions and popularizing its teachings in medieval Japan.
  • E. Fazang
    Fazang was a prominent 7th-century Chinese Buddhist monk and philosopher who systematized and greatly advanced the Huayan school’s doctrines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a33f7c8190966da03528dfe8aa completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.