Triple
T9092886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsuya |
E217933
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object |
勝矢
勝矢 is a Japanese masculine given name and surname that can be written with kanji meaning “victory” and “arrow.”
|
E777776
|
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: 勝矢 | Statement: [Katsuya, canBeWrittenAs, 勝矢]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 勝矢 Context triple: [Katsuya, canBeWrittenAs, 勝矢]
-
A.
斎藤邦太郎
斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
-
B.
牧野伸顕
牧野伸顕は、明治・大正・昭和期に活躍した日本の外交官・政治家で、宮内大臣として天皇側近を務めた人物である。
-
C.
古賀峯一
古賀峯一は、太平洋戦争中に連合艦隊司令長官を務めた日本海軍の軍人である。
-
D.
純一郎
純一郎 is a masculine Japanese given name typically written with kanji conveying meanings such as “pure” and “first son.”
-
E.
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。
- 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: 勝矢 Triple: [Katsuya, canBeWrittenAs, 勝矢]
Generated description
勝矢 is a Japanese masculine given name and surname that can be written with kanji meaning “victory” and “arrow.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 勝矢 Target entity description: 勝矢 is a Japanese masculine given name and surname that can be written with kanji meaning “victory” and “arrow.”
-
A.
斎藤邦太郎
斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
-
B.
牧野伸顕
牧野伸顕は、明治・大正・昭和期に活躍した日本の外交官・政治家で、宮内大臣として天皇側近を務めた人物である。
-
C.
古賀峯一
古賀峯一は、太平洋戦争中に連合艦隊司令長官を務めた日本海軍の軍人である。
-
D.
純一郎
純一郎 is a masculine Japanese given name typically written with kanji conveying meanings such as “pure” and “first son.”
-
E.
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。
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b347d4819085b33d0e20834f47 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017f85c908190a4e90c22a75348b5 |
completed | April 3, 2026, 7:41 p.m. |
| NEDg | Description generation | batch_69d019652fe8819096cccb8cff431261 |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a290de881909482b7eb70bef0e3 |
completed | April 3, 2026, 7:51 p.m. |
Created at: March 30, 2026, 7:14 p.m.