Triple
T16409278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajime Sugiyama |
E398517
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
杉山元
杉山元 was a senior Japanese military leader who served as Chief of the Imperial Japanese Army General Staff during much of the Second Sino-Japanese War and World War II.
|
E1212416
|
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: 杉山元 | Statement: [Hajime Sugiyama, nativeName, 杉山元]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 杉山元 Context triple: [Hajime Sugiyama, nativeName, 杉山元]
-
A.
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。
-
B.
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.
-
C.
丸山毅四郎
丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
-
D.
村山富市
村山富市 is a Japanese politician who served as Prime Minister of Japan from 1994 to 1996 and is known for issuing the landmark 1995 Murayama Statement apologizing for Japan’s wartime aggression.
-
E.
坂 茂
坂 茂 is a renowned Japanese architect celebrated for his innovative use of paper and recyclable materials in humanitarian and disaster-relief structures.
- 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: 杉山元 Triple: [Hajime Sugiyama, nativeName, 杉山元]
Generated description
杉山元 was a senior Japanese military leader who served as Chief of the Imperial Japanese Army General Staff during much of the Second Sino-Japanese War and World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 杉山元 Target entity description: 杉山元 was a senior Japanese military leader who served as Chief of the Imperial Japanese Army General Staff during much of the Second Sino-Japanese War and World War II.
-
A.
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。
-
B.
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.
-
C.
丸山毅四郎
丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
-
D.
村山富市
村山富市 is a Japanese politician who served as Prime Minister of Japan from 1994 to 1996 and is known for issuing the landmark 1995 Murayama Statement apologizing for Japan’s wartime aggression.
-
E.
坂 茂
坂 茂 is a renowned Japanese architect celebrated for his innovative use of paper and recyclable materials in humanitarian and disaster-relief structures.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32871bce08190addd637413473c87 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dfdd4f88190b86db12bb9c7217a |
completed | May 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003e953ca88190bb7c64c12a46c666 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.