Triple
T20567331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiantai school |
E504997
|
entity |
| Predicate | associatedSchool |
P1933
|
FINISHED |
| Object | Tendai |
—
|
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: Tendai | Statement: [Tiantai school, associatedSchool, Tendai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tendai Context triple: [Tiantai school, associatedSchool, Tendai]
-
A.
Tendai
Tendai is a music producer known for working on contemporary tracks such as "For My Hand."
-
B.
Tendai
chosen
Tendai is a major school of Japanese Buddhism derived from the Chinese Tiantai tradition, known for its inclusive doctrine centered on the Lotus Sutra and its influential monastic center on Mount Hiei.
-
C.
Tendai-san
Tendai-san is the Japanese name for Tiantai Mountain, a historically significant Buddhist sacred mountain in China associated with the Tiantai school of Buddhism.
-
D.
Hoeidō
Hoeidō was a prominent Edo-period Japanese publishing house best known for issuing ukiyo-e print series, including Hiroshige’s celebrated "The Fifty-three Stations of the Tōkaidō."
-
E.
Tenkasi
Tenkasi is a town in the Indian state of Tamil Nadu, known for its scenic Western Ghats backdrop, historic temples, and growing role as an emerging technology hub.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a33f7c8190966da03528dfe8aa |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.