Triple

T915888
Position Surface form Disambiguated ID Type / Status
Subject Charles K. Kao E19769 entity
Predicate nativeName P15 FINISHED
Object 高錕
高錕是一位华裔物理学家和电机工程师，被誉为“光纤之父”，因在光纤通信领域的开创性贡献而获得诺贝尔物理学奖。
 E108355 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: 高錕 | Statement: [Charles K. Kao, nativeName, 高錕]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 高錕
Context triple: [Charles K. Kao, nativeName, 高錕]
  • A. Guo Guangchang
    Guo Guangchang is a Chinese billionaire businessman and investor, best known as the chairman and co-founder of the Fosun Group conglomerate.
  • B. Tom Wu
    Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
  • C. Huang Xingguo
    Huang Xingguo is a Chinese politician who served as acting mayor and then mayor of Tianjin before being investigated and convicted on corruption charges.
  • D. He Shuheng
    He Shuheng was an early Chinese communist revolutionary and close associate of Mao Zedong who played a significant role in the founding and development of the Chinese Communist Party.
  • E. Liang Xiaosheng
    Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary 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: 高錕
Triple: [Charles K. Kao, nativeName, 高錕]
Generated description
高錕是一位华裔物理学家和电机工程师，被誉为“光纤之父”，因在光纤通信领域的开创性贡献而获得诺贝尔物理学奖。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 高錕
Target entity description: 高錕是一位华裔物理学家和电机工程师，被誉为“光纤之父”，因在光纤通信领域的开创性贡献而获得诺贝尔物理学奖。
  • A. Guo Guangchang
    Guo Guangchang is a Chinese billionaire businessman and investor, best known as the chairman and co-founder of the Fosun Group conglomerate.
  • B. Tom Wu
    Tom Wu is a British actor and martial artist known for his roles in action and crime films and television series.
  • C. Huang Xingguo
    Huang Xingguo is a Chinese politician who served as acting mayor and then mayor of Tianjin before being investigated and convicted on corruption charges.
  • D. He Shuheng
    He Shuheng was an early Chinese communist revolutionary and close associate of Mao Zedong who played a significant role in the founding and development of the Chinese Communist Party.
  • E. Liang Xiaosheng
    Liang Xiaosheng is a prominent Chinese writer and scholar best known for his realist novels depicting ordinary people's lives in contemporary 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f789108190815fd1efbd6cc24f completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6062e48190ad7efca6da7d0445 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7cfd126f48190bff81a9c2d3781f0 completed March 4, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7d05886c081909e6453d766540720 completed March 4, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:39 p.m.