Triple

T22348477
Position Surface form Disambiguated ID Type / Status
Subject Tang Shaoyi E552462 entity
Predicate givenName P17 FINISHED
Object Shaoyi
Shaoyi is a given name most notably borne by Tang Shaoyi, the first Premier of the Republic of China in 1912.
E1531055 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: Shaoyi | Statement: [Tang Shaoyi, givenName, Shaoyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaoyi
Context triple: [Tang Shaoyi, givenName, Shaoyi]
  • A. Baoying
    Baoying was a historical Chinese era name used during the reign of Emperor Daizong of the Tang dynasty.
  • B. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • C. Yongrong
    Yongrong was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor and a member of the high Manchu nobility.
  • D. Xinyu
    Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
  • E. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • 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: Shaoyi
Triple: [Tang Shaoyi, givenName, Shaoyi]
Generated description
Shaoyi is a given name most notably borne by Tang Shaoyi, the first Premier of the Republic of China in 1912.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shaoyi
Target entity description: Shaoyi is a given name most notably borne by Tang Shaoyi, the first Premier of the Republic of China in 1912.
  • A. Baoying
    Baoying was a historical Chinese era name used during the reign of Emperor Daizong of the Tang dynasty.
  • B. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • C. Yongrong
    Yongrong was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor and a member of the high Manchu nobility.
  • D. Xinyu
    Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
  • E. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad5337cb48190b717d997d367551a completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad9947a8481909b36b72d15432d63 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada8fe7208190bc1143e328abc112 completed May 18, 2026, 9:23 a.m.
Created at: April 16, 2026, 8:43 p.m.