Triple

T17585574
Position Surface form Disambiguated ID Type / Status
Subject Zhu Ziqing E428312 entity
Predicate givenName P17 FINISHED
Object Ziqing
Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
 E1279721 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: Ziqing | Statement: [Zhu Ziqing, givenName, Ziqing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziqing
Context triple: [Zhu Ziqing, givenName, Ziqing]
  • A. Zhenqing
    Zhenqing is the given name of Yan Zhenqing, a renowned Tang dynasty Chinese calligrapher, statesman, and military general.
  • B. 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.
  • C. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • D. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • E. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • 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: Ziqing
Triple: [Zhu Ziqing, givenName, Ziqing]
Generated description
Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziqing
Target entity description: Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
  • A. Zhenqing
    Zhenqing is the given name of Yan Zhenqing, a renowned Tang dynasty Chinese calligrapher, statesman, and military general.
  • B. 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.
  • C. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • D. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • E. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d113b08190975506f3558c1eca completed April 19, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a8b5ae88190809215e758dfe60f completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020da4e10481908a8a6420905034d7 completed May 11, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a020e2ec11c81909b34d361e6162541 completed May 11, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:50 a.m.