Triple

T21320679
Position Surface form Disambiguated ID Type / Status
Subject Yang Chengwu E525604 entity
Predicate givenName P17 FINISHED
Object Chengwu
Chengwu is a Chinese given name shared by various individuals, including historical and contemporary figures.
 E1477974 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: Chengwu | Statement: [Yang Chengwu, givenName, Chengwu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chengwu
Context triple: [Yang Chengwu, givenName, Chengwu]
  • A. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • B. Wucheng
    Wucheng was the reign title used by the Northern Qi emperor Gao Zhan (Emperor Wucheng) during his rule in 6th-century China.
  • C. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • D. Liáochéng
    Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
  • E. Wenzheng
    Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
  • 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: Chengwu
Triple: [Yang Chengwu, givenName, Chengwu]
Generated description
Chengwu is a Chinese given name shared by various individuals, including historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chengwu
Target entity description: Chengwu is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • A. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • B. Wucheng
    Wucheng was the reign title used by the Northern Qi emperor Gao Zhan (Emperor Wucheng) during his rule in 6th-century China.
  • C. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • D. Liáochéng
    Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
  • E. Wenzheng
    Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a099ee48a0881909edd40cde83d10c5 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099fa8142c819090f4521e39157cf0 completed May 17, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09a0b6374c8190bfea2d9a3c02a69b completed May 17, 2026, 11:04 a.m.
Created at: April 16, 2026, 4:39 p.m.