Triple
T960487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osami Nagano |
E20724
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
永野修身
永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
|
E113452
|
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: 永野修身 | Statement: [Osami Nagano, nativeName, 永野修身]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 永野修身 Context triple: [Osami Nagano, nativeName, 永野修身]
-
A.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
-
B.
山本
山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
-
C.
Ōyama Iwao
Ōyama Iwao was a prominent Meiji-era Japanese field marshal and statesman who played key leadership roles in Japan’s early modern wars and military modernization.
-
D.
岸田裕子
岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
-
E.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
- 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: 永野修身 Triple: [Osami Nagano, nativeName, 永野修身]
Generated description
永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 永野修身 Target entity description: 永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
-
A.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
-
B.
山本
山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
-
C.
Ōyama Iwao
Ōyama Iwao was a prominent Meiji-era Japanese field marshal and statesman who played key leadership roles in Japan’s early modern wars and military modernization.
-
D.
岸田裕子
岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
-
E.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4144c208190980936347a95e233 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a3f8c481908f9ed37c44788cb7 |
completed | March 7, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69ac1339634c8190b83c39db30fc78b1 |
completed | March 7, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac13931cf081908de84000f7b037fc |
completed | March 7, 2026, 12:01 p.m. |
Created at: March 1, 2026, 7:40 p.m.