Triple

T6014830
Position Surface form Disambiguated ID Type / Status
Subject Lin Yurong E133924 entity
Predicate hasGivenName P17 FINISHED
Object Yurong
Yurong is a given name of Chinese origin commonly used for females and associated with elegance and refinement.
 E561602 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: Yurong | Statement: [Lin Yurong, hasGivenName, Yurong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yurong
Context triple: [Lin Yurong, hasGivenName, Yurong]
  • A. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • B. Yanyou
    Yanyou was a reign era of the Yuan dynasty under Emperor Ayurbarwada Buyantu Khan in the early 14th century.
  • C. Deyu
    Deyu is the courtesy name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to restore the Ming dynasty after the fall of Beijing to the Qing.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Rengong
    Rengong is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • 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: Yurong
Triple: [Lin Yurong, hasGivenName, Yurong]
Generated description
Yurong is a given name of Chinese origin commonly used for females and associated with elegance and refinement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yurong
Target entity description: Yurong is a given name of Chinese origin commonly used for females and associated with elegance and refinement.
  • A. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • B. Yanyou
    Yanyou was a reign era of the Yuan dynasty under Emperor Ayurbarwada Buyantu Khan in the early 14th century.
  • C. Deyu
    Deyu is the courtesy name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to restore the Ming dynasty after the fall of Beijing to the Qing.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Rengong
    Rengong is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f80ec108190ae9711727debb061 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108ade3948190994fbaa2a5539216 completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10a4a09bc8190bca9ede98ec5ede9 completed March 23, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69c10ae181c48190bf511ef29bcd493a completed March 23, 2026, 9:41 a.m.
Created at: March 22, 2026, 4:06 p.m.