Triple
T12187815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天野浩 |
E290379
|
entity |
| Predicate | notableStudentOrCollaborator |
P25977
|
FINISHED |
| Object | 赤崎勇 |
E46540
|
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: 赤崎勇 | Statement: [天野浩, notableStudentOrCollaborator, 赤崎勇]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 赤崎勇 Context triple: [天野浩, notableStudentOrCollaborator, 赤崎勇]
-
A.
Isamu Akasaki
chosen
Isamu Akasaki was a Japanese physicist and Nobel laureate renowned for pioneering the development of efficient blue light-emitting diodes (LEDs), which revolutionized lighting and display technologies.
-
B.
Yoshio Nakamura
Yoshio Nakamura is a Japanese judoka and Olympic medalist known for his achievements in international judo competitions.
-
C.
Shuji Nakamura
Shuji Nakamura is a Japanese-American engineer and physicist best known for inventing the efficient blue LED, a breakthrough that enabled modern white LED lighting and earned him the Nobel Prize in Physics.
-
D.
中村修二
中村修二は、青色発光ダイオード（青色LED）の発明で知られ、2014年にノーベル物理学賞を受賞した日本出身の工学者です。
-
E.
安倍晋太郎
安倍晋太郎は、戦後日本の自民党政権で外務大臣などを務めた有力政治家であり、第90代内閣総理大臣・安倍晋三の父としても知られる人物である。
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d916012c2c819085824332ad60059e |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a8a92688190867b3e7191c3f43e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.