Triple
T12482203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jun-ichi Nishizawa |
E298339
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
西澤潤一
西澤潤一 was a pioneering Japanese engineer and physicist known as a “father of Japanese microelectronics” for his groundbreaking work in semiconductor and optical communication technologies.
|
E985643
|
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: 西澤潤一 | Statement: [Jun-ichi Nishizawa, nativeName, 西澤潤一]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 西澤潤一 Context triple: [Jun-ichi Nishizawa, nativeName, 西澤潤一]
-
A.
成澤廣修
成澤廣修は、日本の政治家で、東京都文京区の区政を長年担ってきた区長として知られている人物である。
-
B.
潤一郎
潤一郎 is a Japanese given name commonly used for males.
-
C.
大山巌
大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
-
D.
嶋田繁太郎
嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
-
E.
斎藤秀雄
斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
- 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: 西澤潤一 Triple: [Jun-ichi Nishizawa, nativeName, 西澤潤一]
Generated description
西澤潤一 was a pioneering Japanese engineer and physicist known as a “father of Japanese microelectronics” for his groundbreaking work in semiconductor and optical communication technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 西澤潤一 Target entity description: 西澤潤一 was a pioneering Japanese engineer and physicist known as a “father of Japanese microelectronics” for his groundbreaking work in semiconductor and optical communication technologies.
-
A.
成澤廣修
成澤廣修は、日本の政治家で、東京都文京区の区政を長年担ってきた区長として知られている人物である。
-
B.
潤一郎
潤一郎 is a Japanese given name commonly used for males.
-
C.
大山巌
大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
-
D.
嶋田繁太郎
嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
-
E.
斎藤秀雄
斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f29307c8190b024d889d45ba9f7 |
completed | May 2, 2026, 6:15 p.m. |
| NEDg | Description generation | batch_69f6437e88c881909b7f1d55c11b0825 |
completed | May 2, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f644464c0c8190a8d4ea4914d32e7f |
completed | May 2, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:56 p.m.