Triple
T19811173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hossō |
E475947
|
entity |
| Predicate | introducedToJapanBy |
P113862
|
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, introducedToJapanBy, Dōshō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dōshō Context triple: [Hossō, introducedToJapanBy, 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542bd7a48190acf67db41f1131c9 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.