Triple

T16778073
Position Surface form Disambiguated ID Type / Status
Subject Jōdo Shinshū E407779 entity
Predicate influencedBy P9 FINISHED
Object Hōnen E292236 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: Hōnen | Statement: [Jōdo Shinshū, influencedBy, Hōnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hōnen
Context triple: [Jōdo Shinshū, influencedBy, Hōnen]
  • A. Hōnen chosen
    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.
  • B. Shinran
    Shinran was a Japanese Buddhist monk and religious reformer who founded the Jōdo Shinshū (True Pure Land) school, emphasizing salvation through faith in Amida Buddha.
  • C. Nichiren
    Nichiren was a 13th-century Japanese Buddhist monk who taught exclusive devotion to the Lotus Sutra as the sole path to enlightenment and inspired several influential Buddhist movements.
  • 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. Honen-in
    Honen-in is a tranquil, moss-covered Buddhist temple in Kyoto known for its serene gardens and understated, contemplative atmosphere.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b212fc248190a8fe1124853bf16d completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45013048190a8073f34820ca85a completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:22 a.m.