Triple
T14196153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshida Shōin |
E351839
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Inoue Kaoru |
E767495
|
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: Inoue Kaoru | Statement: [Yoshida Shōin, influenced, Inoue Kaoru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inoue Kaoru Context triple: [Yoshida Shōin, influenced, Inoue Kaoru]
-
A.
Inoue Kaoru
chosen
Inoue Kaoru was a key Meiji-era Japanese statesman and reformer who played a central role in modernizing Japan’s government and economy.
-
B.
Inoue Yutaka
Inoue Yutaka is a sculptor best known for creating the prominent statue of Sir Stamford Raffles at Singapore’s Boat Quay.
-
C.
Noda Kōichi
Noda Kōichi is a Japanese architect best known for creating the iconic Kobe Port Tower, a landmark of Kobe’s waterfront skyline.
-
D.
Tanaka Koki
Tanaka Koki is a Japanese entertainer best known as a former member of the popular boy band KAT-TUN.
-
E.
Yuitsu Tsuchihashi
Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d379bc881908b7954c633787165 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:04 a.m.