Triple

T10062748
Position Surface form Disambiguated ID Type / Status
Subject Bai Juyi E213026 entity
Predicate artName P32318 FINISHED
Object Xiangshan Jushi
Xiangshan Jushi was the art name of Bai Juyi, a renowned Tang dynasty poet celebrated for his accessible, socially conscious verse.
 E839518 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: Xiangshan Jushi | Statement: [Bai Juyi, artName, Xiangshan Jushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiangshan Jushi
Context triple: [Bai Juyi, artName, Xiangshan Jushi]
  • A. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • B. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • C. Yixian
    Yixian is a historic county-level city in China’s Anhui province, noted for its well-preserved ancient villages and traditional Huizhou architecture.
  • D. Xiangshan
    Xiangshan is a mountain in Luoyang, China, known for overlooking the Longmen Grottoes and associated with historic temples and scenic landscapes.
  • E. Xiangshan
    Xiangshan was the historical name of the city now known as Zhongshan in Guangdong Province, China, an area notable for being the birthplace of Sun Yat-sen.
  • 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: Xiangshan Jushi
Triple: [Bai Juyi, artName, Xiangshan Jushi]
Generated description
Xiangshan Jushi was the art name of Bai Juyi, a renowned Tang dynasty poet celebrated for his accessible, socially conscious verse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiangshan Jushi
Target entity description: Xiangshan Jushi was the art name of Bai Juyi, a renowned Tang dynasty poet celebrated for his accessible, socially conscious verse.
  • A. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • B. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • C. Yixian
    Yixian is a historic county-level city in China’s Anhui province, noted for its well-preserved ancient villages and traditional Huizhou architecture.
  • D. Xiangshan
    Xiangshan is a mountain in Luoyang, China, known for overlooking the Longmen Grottoes and associated with historic temples and scenic landscapes.
  • E. Xiangshan
    Xiangshan was the historical name of the city now known as Zhongshan in Guangdong Province, China, an area notable for being the birthplace of Sun Yat-sen.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd3c6bc8190a21ed3566f9c08d1 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a717f008190907089e1acb32361 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:58 p.m.