Triple
T12187800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天野浩 |
E290379
|
entity |
| Predicate | sharedNobelPrizeWith |
P1859
|
FINISHED |
| Object |
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。
|
E967828
|
NE FINISHED |
How this triple was built (4 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: 中村修二 | Statement: [天野浩, sharedNobelPrizeWith, 中村修二]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 中村修二 Context triple: [天野浩, sharedNobelPrizeWith, 中村修二]
-
A.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
B.
佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
-
C.
木村資生
木村資生は、分子進化における「中立進化説」を提唱したことで知られる日本の著名な遺伝学者・進化生物学者である。
-
D.
佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
-
E.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 中村修二 Triple: [天野浩, sharedNobelPrizeWith, 中村修二]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 中村修二 Target entity description: 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。
-
A.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
B.
佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
-
C.
木村資生
木村資生は、分子進化における「中立進化説」を提唱したことで知られる日本の著名な遺伝学者・進化生物学者である。
-
D.
佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
-
E.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
- F. None of above. chosen
Provenance (5 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_69f5f6b0a84c8190ae593e368c13b5a5 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f600b7e1788190b1df4fdfd96118d0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f604c4ef7c8190bc128b1aa535744d |
completed | May 2, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.