Triple
T4138533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ihara Saikaku |
E89215
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 井原西鶴 |
E89215
|
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: 井原西鶴 | Statement: [Ihara Saikaku, nativeName, 井原西鶴]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 井原西鶴 Context triple: [Ihara Saikaku, nativeName, 井原西鶴]
-
A.
Ihara Saikaku
chosen
Ihara Saikaku was a pioneering Japanese author of the Edo period, best known for his witty, realistic portrayals of urban merchant life and the pleasure quarters.
-
B.
Zeami Motokiyo
Zeami Motokiyo was a seminal Japanese playwright, actor, and theorist who systematized and elevated Noh theatre into a refined classical art form.
-
C.
Ō no Yasumaro
Ō no Yasumaro was an early 8th-century Japanese noble and scholar best known for compiling the Kojiki, one of Japan’s oldest extant chronicles of myths, legends, and early history.
-
D.
Matsuo Bashō
Matsuo Bashō was a renowned Japanese poet celebrated as the master of haiku and a central figure in early modern Japanese literature.
-
E.
Sarashina Kikō
Sarashina Kikō is a classical Japanese travel diary, traditionally attributed to the poet Matsuo Bashō, that records a poetic journey through the Sarashina region.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c9f8a081908c2910ac475e4974 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.