Triple
T11270425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyōki |
E266796
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gyōki |
E266796
|
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: Gyōki | Statement: [Gyōki, name, Gyōki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyōki Context triple: [Gyōki, name, 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.
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.
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.
-
D.
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.
-
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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccdf9e0c819098a921146e8d6e30 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.