Triple
T16406196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dōgen |
E398437
|
entity |
| Predicate | name |
P16
|
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: [Dōgen, name, Dōgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dōgen Context triple: [Dōgen, name, 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.
Mumon Ekai
Mumon Ekai was a 13th-century Chinese Chan (Zen) master best known for compiling and commenting on the influential Zen koan collection known as the Gateless Gate.
-
E.
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.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c62614c8190acd6d211cab1be11 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.