Triple

T6370188
Position Surface form Disambiguated ID Type / Status
Subject Xianfeng Emperor E143325 entity
Predicate personalName P24312 FINISHED
Object Yizhu
Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
 E588061 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: Yizhu | Statement: [Xianfeng Emperor, personalName, Yizhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yizhu
Context triple: [Xianfeng Emperor, personalName, Yizhu]
  • A. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • 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. 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.
  • D. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • E. He Zun
    He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
  • 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: Yizhu
Triple: [Xianfeng Emperor, personalName, Yizhu]
Generated description
Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yizhu
Target entity description: Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • A. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • 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. 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.
  • D. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • E. He Zun
    He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068277f6c81908e6a55e006f0c229 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8bce3481909b0bf7533b330d1f completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62e2072808190a4f2dd262b631c88 completed March 27, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69c62f1bbdac8190b0cff9fbcddd68a7 completed March 27, 2026, 7:17 a.m.
Created at: March 22, 2026, 4:33 p.m.