Triple

T7034861
Position Surface form Disambiguated ID Type / Status
Subject Johnny Chiang E163356 entity
Predicate hasGivenName P17 FINISHED
Object 啟臣
啟臣 is the Chinese given name of Taiwanese politician Johnny Chiang, a former chairman of the Kuomintang (KMT).
 E637183 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: 啟臣 | Statement: [Johnny Chiang, hasGivenName, 啟臣]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 啟臣
Context triple: [Johnny Chiang, hasGivenName, 啟臣]
  • A. 陳士駿
    陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
  • B. 陳德霖
    陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
  • C. 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。
  • D. Weng Wen-hao
    Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
  • E. Chang Yung-fa
    Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
  • 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: 啟臣
Triple: [Johnny Chiang, hasGivenName, 啟臣]
Generated description
啟臣 is the Chinese given name of Taiwanese politician Johnny Chiang, a former chairman of the Kuomintang (KMT).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 啟臣
Target entity description: 啟臣 is the Chinese given name of Taiwanese politician Johnny Chiang, a former chairman of the Kuomintang (KMT).
  • A. 陳士駿
    陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
  • B. 陳德霖
    陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
  • C. 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。
  • D. Weng Wen-hao
    Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
  • E. Chang Yung-fa
    Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e212e28c8190bf38ce9a25d2032e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c779acac2881909917e12072f66637 completed March 28, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69c77a0390248190ba535e7d931a4682 completed March 28, 2026, 6:49 a.m.
Created at: March 27, 2026, 2:36 p.m.