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.