Triple
T12445037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichiren |
E297376
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Reiyukai |
E680597
|
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: Reiyukai | Statement: [Nichiren, influenced, Reiyukai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reiyukai Context triple: [Nichiren, influenced, Reiyukai]
-
A.
Reiyukai
chosen
Reiyukai is a Japanese lay Buddhist new religious movement known for its focus on ancestor veneration and personal spiritual development.
-
B.
Taishin-in
Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
-
C.
Kenseikai
Kenseikai was a major early 20th-century Japanese political party that advocated constitutional government and moderate liberal reforms during the Taishō democracy era.
-
D.
Shinchōsha
Shinchōsha is a Japanese publishing company known for producing literary fiction, non-fiction, and cultural works, including prominent modern Japanese authors.
-
E.
Kaishintō
Kaishintō was a prominent Meiji-era Japanese political party advocating constitutional government and liberal reforms.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f132d048190b58a8381bdc74cad |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.