Triple
T4474349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiichi Itō |
E98569
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
伊藤 整一
伊藤整一 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 administration.
|
E441719
|
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: 伊藤 整一 | Statement: [Seiichi Itō, nativeName, 伊藤 整一]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 伊藤 整一 Context triple: [Seiichi Itō, nativeName, 伊藤 整一]
-
A.
伊藤 博文
伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
-
B.
伊藤 清
伊藤 清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
-
C.
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.
-
D.
山田 乙三
山田 乙三 was a Japanese general in the Imperial Japanese Army who played a significant role in military operations during the Second Sino-Japanese War and World War II.
-
E.
加藤 友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
- 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: 伊藤 整一 Triple: [Seiichi Itō, nativeName, 伊藤 整一]
Generated description
伊藤整一 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 administration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 伊藤 整一 Target entity description: 伊藤整一 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 administration.
-
A.
伊藤 博文
伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
-
B.
伊藤 清
伊藤 清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
-
C.
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.
-
D.
山田 乙三
山田 乙三 was a Japanese general in the Imperial Japanese Army who played a significant role in military operations during the Second Sino-Japanese War and World War II.
-
E.
加藤 友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356bb03f48190a2addcd49c9e470d |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6287f076081909bca3643ac489fcf |
completed | March 15, 2026, 3:33 a.m. |
| NEDg | Description generation | batch_69b6295721d881908d49ce1944e0ed17 |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62a3e9d1c8190a613726d45622406 |
completed | March 15, 2026, 3:40 a.m. |
Created at: March 12, 2026, 11:35 p.m.