Triple

T19682704
Position Surface form Disambiguated ID Type / Status
Subject Hossō school E472631 entity
Predicate associatedPhilosopher P603 FINISHED
Object Dōshō 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: Dōshō | Statement: [Hossō school, associatedPhilosopher, Dōshō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dōshō
Context triple: [Hossō school, associatedPhilosopher, Dōshō]
  • A. Dōshō chosen
    Dōshō was a 7th-century Japanese Buddhist monk known for studying in China under Xuanzang and helping establish the Hossō (Yogācāra) school in Japan.
  • B. Shōji-ko
    Shōji-ko is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and relatively undeveloped, tranquil surroundings.
  • C. Shaka-dō
    Shaka-dō is a principal Buddhist hall at Enryaku-ji on Mount Hiei, known for enshrining a statue of Shakyamuni Buddha and serving as an important site of Tendai Buddhist worship.
  • D. Karakasa-dō
    Karakasa-dō is a notable sub-temple or hall within the historic Zen Buddhist temple complex of Kenchō-ji in Kamakura, Japan.
  • E. Shichirōji
    Shichirōji is a seasoned, loyal samurai and former comrade of Kambei in Akira Kurosawa’s film "Seven Samurai," known for his calm demeanor and steadfast bravery.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641c126b88190820281058a1e7793 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.