Triple

T11673175
Position Surface form Disambiguated ID Type / Status
Subject Hongzhi Zhengjue E277428 entity
Predicate influenced P9 FINISHED
Object Dōgen E398437 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: Dōgen | Statement: [Hongzhi Zhengjue, influenced, Dōgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dōgen
Context triple: [Hongzhi Zhengjue, influenced, Dōgen]
  • A. Dōgen chosen
    Dōgen was a Japanese Zen Buddhist monk, philosopher, and founder of the Sōtō school of Zen, renowned for his influential writings on meditation and enlightenment.
  • B. 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.
  • C. 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.
  • D. 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.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a443b6848190a1eb6825fbc49d08 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13e1b3d8819085ea806280ed69d3 completed April 27, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:40 p.m.