Triple
T14572607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisiro Maruyama |
E341955
|
entity |
| Predicate | hasNameInKanji |
P114914
|
FINISHED |
| Object |
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.
|
E1105835
|
NE FINISHED |
How this triple was built (5 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: 丸山毅四郎 | Statement: [Gisiro Maruyama, hasNameInKanji, 丸山毅四郎]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 丸山毅四郎 Context triple: [Gisiro Maruyama, hasNameInKanji, 丸山毅四郎]
-
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.
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.
-
C.
吉田遠志
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
-
D.
伊藤利助
伊藤利助は、日本初代内閣総理大臣として知られる明治時代の政治家・伊藤博文の別名である。
-
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: 丸山毅四郎 Triple: [Gisiro Maruyama, hasNameInKanji, 丸山毅四郎]
Generated description
丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 丸山毅四郎 Target entity description: 丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
-
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.
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.
-
C.
吉田遠志
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
-
D.
伊藤利助
伊藤利助は、日本初代内閣総理大臣として知られる明治時代の政治家・伊藤博文の別名である。
-
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
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInKanji Context triple: [Gisiro Maruyama, hasNameInKanji, 丸山毅四郎]
-
A.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
B.
nameInJapaneseKana
Indicates that an entity’s name is written or represented using Japanese kana characters.
-
C.
hasOfficialNameInJapanese
Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
-
D.
nameLengthInKanji
Indicates the number of kanji characters used in an entity’s name.
-
E.
hanjaName
Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
- F. None of above. chosen
Provenance (7 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aca591081908db149ec517a999b |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bd70488819083f40c38575f3071 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d506df4819092b52b0dde04bb4d |
completed | May 8, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:24 a.m.