Triple
T12839675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuji |
E307015
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object |
修治
修治 is a Japanese given name, typically romanized as "Shuji," used for males.
|
E1003591
|
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: 修治 | Statement: [Shuji, canBeWrittenAs, 修治]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 修治 Context triple: [Shuji, canBeWrittenAs, 修治]
-
A.
Jianshen
Jianshen was the personal given name of the Chenghua Emperor, a Ming dynasty ruler of China who reigned from 1464 to 1487.
-
B.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
-
C.
Tiaolu
Tiaolu was a historical era name used during the reign of Emperor Gaozong of the Tang dynasty in China.
-
D.
Guangbing
Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
E.
Chuanxin fayao
Chuanxin fayao is a classic Chan Buddhist text traditionally attributed to the Tang dynasty master Huangbo Xiyun, known for its teachings on sudden enlightenment and the direct realization of mind.
- 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: 修治 Triple: [Shuji, canBeWrittenAs, 修治]
Generated description
修治 is a Japanese given name, typically romanized as "Shuji," used for males.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 修治 Target entity description: 修治 is a Japanese given name, typically romanized as "Shuji," used for males.
-
A.
Jianshen
Jianshen was the personal given name of the Chenghua Emperor, a Ming dynasty ruler of China who reigned from 1464 to 1487.
-
B.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
-
C.
Tiaolu
Tiaolu was a historical era name used during the reign of Emperor Gaozong of the Tang dynasty in China.
-
D.
Guangbing
Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
-
E.
Chuanxin fayao
Chuanxin fayao is a classic Chan Buddhist text traditionally attributed to the Tang dynasty master Huangbo Xiyun, known for its teachings on sudden enlightenment and the direct realization of mind.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edd30e881909062e8f91f614990 |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f68f8e29508190b9c5b5ed88631bf8 |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69006c0288190a49ba8714cd19959 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:35 p.m.