Triple

T21101031
Position Surface form Disambiguated ID Type / Status
Subject Wei E519903 entity
Predicate hasNotableBearer P458 FINISHED
Object Wei Shao
Wei Shao is a Chinese given name most notably borne by individuals in fields such as sports and entertainment.
E1496455 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: Wei Shao | Statement: [Wei, hasNotableBearer, Wei Shao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wei Shao
Context triple: [Wei, hasNotableBearer, Wei Shao]
  • A. Wei Li
    Wei Li is a computer scientist known for co-authoring and introducing the T5 (Text-to-Text Transfer Transformer) language model in natural language processing research.
  • B. Xu Shiyou
    Xu Shiyou was a prominent Chinese general and military commander of the People's Liberation Army who played key roles in several major conflicts of the People's Republic of China.
  • C. Yang Zhao
    Yang Zhao was a crown prince of the Sui dynasty and the eldest son of Emperor Wen of Sui, who died before he could ascend the throne.
  • D. Zheng Shangyou
    Zheng Shangyou is a Chinese climbing-style card game that served as a key predecessor to the popular game Big Two.
  • E. Zhao Sheng
    Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the 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: Wei Shao
Triple: [Wei, hasNotableBearer, Wei Shao]
Generated description
Wei Shao is a Chinese given name most notably borne by individuals in fields such as sports and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wei Shao
Target entity description: Wei Shao is a Chinese given name most notably borne by individuals in fields such as sports and entertainment.
  • A. Wei Li
    Wei Li is a computer scientist known for co-authoring and introducing the T5 (Text-to-Text Transfer Transformer) language model in natural language processing research.
  • B. Xu Shiyou
    Xu Shiyou was a prominent Chinese general and military commander of the People's Liberation Army who played key roles in several major conflicts of the People's Republic of China.
  • C. Yang Zhao
    Yang Zhao was a crown prince of the Sui dynasty and the eldest son of Emperor Wen of Sui, who died before he could ascend the throne.
  • D. Zheng Shangyou
    Zheng Shangyou is a Chinese climbing-style card game that served as a key predecessor to the popular game Big Two.
  • E. Zhao Sheng
    Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5e16cc81908257ccf8c9a59117 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1dff1fbc819091ff7495d1cc222c completed May 17, 2026, 7:58 p.m.
NEDg Description generation batch_6a0a1eac9b648190881c97d474762fc0 completed May 17, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1f3b77488190bfb73b9e83446bb3 completed May 17, 2026, 8:04 p.m.
Created at: April 16, 2026, 2:53 p.m.