Triple
T17258128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobayashi Issa |
E418936
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 小林 一茶 |
E418936
|
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: 小林 一茶 | Statement: [Kobayashi Issa, nativeName, 小林 一茶]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 小林 一茶 Context triple: [Kobayashi Issa, nativeName, 小林 一茶]
-
A.
小林 誠
小林 誠（Makoto Kobayashi）は、対称性の破れに関する研究で知られ、ノーベル物理学賞を受賞した日本の理論物理学者です。
-
B.
井上馨
井上馨は、明治時代に外務大臣や内務大臣などを歴任し、近代日本の外交・内政の基盤づくりに大きな影響を与えた政治家・元長州藩士である。
-
C.
Kobayashi Issa
chosen
Kobayashi Issa was a prominent Japanese haiku poet of the Edo period, known for his compassionate, often humorous depictions of everyday life and the suffering of common people.
-
D.
Yosa Buson
Yosa Buson was an Edo-period Japanese haiku master and painter renowned for blending Bashō’s poetic tradition with his own richly visual, lyrical style.
-
E.
Matsuo Bashō
Matsuo Bashō was a renowned Japanese poet celebrated as the master of haiku and a central figure in early modern Japanese literature.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6dde4881908e7fc01fd5364616 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ff6818819090077dc4a7b774ae |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.