Triple

T9614603
Position Surface form Disambiguated ID Type / Status
Subject Yuan E232186 entity
Predicate hasNotableBearer P458 FINISHED
Object Yuan Hong
Yuan Hong is a Chinese actor known for his roles in popular historical and fantasy television dramas.
E818351 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: Yuan Hong | Statement: [Yuan, hasNotableBearer, Yuan Hong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuan Hong
Context triple: [Yuan, hasNotableBearer, Yuan Hong]
  • A. Wu Yuan
    Wu Yuan, better known as Wu Zixu, was a famed statesman and military strategist of the Spring and Autumn period in ancient China, renowned for his role in the rise of the State of Wu.
  • B. Yu Yishang
    Yu Yishang was one of the principal wives of Yuan Shikai, the early 20th-century Chinese military strongman and short-lived emperor of China.
  • C. Di Xin
    Di Xin was the last ruler of China's Shang dynasty, historically portrayed as a tyrannical and decadent king whose misrule led to the dynasty's downfall.
  • D. Zhao Hongyin
    Zhao Hongyin was a military officer of the Later Zhou dynasty and the father of Zhao Kuangyin, who would become Emperor Taizu and found the Song dynasty in China.
  • E. Wang Zhen
    Wang Zhen was a prominent Chinese Communist military commander and one of the founding Ten Marshals of the People’s Republic of China.
  • 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: Yuan Hong
Triple: [Yuan, hasNotableBearer, Yuan Hong]
Generated description
Yuan Hong is a Chinese actor known for his roles in popular historical and fantasy television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yuan Hong
Target entity description: Yuan Hong is a Chinese actor known for his roles in popular historical and fantasy television dramas.
  • A. Wu Yuan
    Wu Yuan, better known as Wu Zixu, was a famed statesman and military strategist of the Spring and Autumn period in ancient China, renowned for his role in the rise of the State of Wu.
  • B. Yu Yishang
    Yu Yishang was one of the principal wives of Yuan Shikai, the early 20th-century Chinese military strongman and short-lived emperor of China.
  • C. Di Xin
    Di Xin was the last ruler of China's Shang dynasty, historically portrayed as a tyrannical and decadent king whose misrule led to the dynasty's downfall.
  • D. Zhao Hongyin
    Zhao Hongyin was a military officer of the Later Zhou dynasty and the father of Zhao Kuangyin, who would become Emperor Taizu and found the Song dynasty in China.
  • E. Wang Zhen
    Wang Zhen was a prominent Chinese Communist military commander and one of the founding Ten Marshals of the People’s Republic of China.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaaa47881908d69381d4d11f49b completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af5ea4e0819082de02bdf510eaee completed April 5, 2026, 12:39 a.m.
NEDg Description generation batch_69d1b06d39b48190adaadbc81b4ffb9a completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1511c7c8190ba7bc691ab2d3a13 completed April 5, 2026, 12:48 a.m.
Created at: March 30, 2026, 8:09 p.m.