Triple
T15185538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liang Qichao |
E362864
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object |
Zhuoru
Zhuoru is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist intellectual.
|
E1141296
|
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: Zhuoru | Statement: [Liang Qichao, courtesyName, Zhuoru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhuoru Context triple: [Liang Qichao, courtesyName, Zhuoru]
-
A.
Zhongru
Zhongru was the courtesy name of Deng Ai, a prominent late Three Kingdoms–era general of the state of Cao Wei known for his pivotal role in the conquest of Shu Han.
-
B.
Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
-
C.
Jingyu
Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
-
D.
Yizhu
Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
-
E.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
- 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: Zhuoru Triple: [Liang Qichao, courtesyName, Zhuoru]
Generated description
Zhuoru is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist intellectual.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhuoru Target entity description: Zhuoru is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist intellectual.
-
A.
Zhongru
Zhongru was the courtesy name of Deng Ai, a prominent late Three Kingdoms–era general of the state of Cao Wei known for his pivotal role in the conquest of Shu Han.
-
B.
Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
-
C.
Jingyu
Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
-
D.
Yizhu
Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
-
E.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec91a2d708190bcc67793c46b2a61 |
completed | May 9, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca0d38088190910dbf4f2538a9d4 |
completed | May 9, 2026, 5:45 a.m. |
Created at: April 10, 2026, 3:09 a.m.