Triple

T6263190
Position Surface form Disambiguated ID Type / Status
Subject Lin Zexu E140349 entity
Predicate courtesyName P570 FINISHED
Object Yuanfu
Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
 E579848 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: Yuanfu | Statement: [Lin Zexu, courtesyName, Yuanfu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuanfu
Context triple: [Lin Zexu, courtesyName, Yuanfu]
  • A. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • 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. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Yunwen
    Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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: Yuanfu
Triple: [Lin Zexu, courtesyName, Yuanfu]
Generated description
Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuanfu
Target entity description: Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
  • A. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • 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. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Yunwen
    Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06387fec0819095b47a37b9402aa9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2445061a481909487fdb04c50493b completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c2a7b1406c8190a703297cf3dbafca completed March 24, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69c2a809cb1c81909aca6b1b70310e67 completed March 24, 2026, 3:04 p.m.
Created at: March 22, 2026, 4:25 p.m.