Triple
T21396041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saiho-ji |
E527782
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Gyōki |
—
|
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: Gyōki | Statement: [Saiho-ji, founder, Gyōki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyōki Context triple: [Saiho-ji, founder, 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.
Myōe
Myōe was a prominent Japanese Buddhist monk of the Kamakura period known for his religious reforms, scholarship, and promotion of both Kegon and Shingon teachings.
-
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.
Gyōda
Gyōda is a city in Saitama Prefecture, Japan, known for its historic Oshi Castle and well-preserved traditional townscape.
-
E.
Gyōshin
Gyōshin was a Japanese Buddhist monk and scholar of the Hossō (Yogācāra) school, known for his contributions to the development and transmission of its doctrinal teachings.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b11981388190874b8466400b39fe |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.