Triple

T4357676
Position Surface form Disambiguated ID Type / Status
Subject Norman Chan E98589 entity
Predicate nativeName P15 FINISHED
Object 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.
 E432936 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: 陳德霖 | Statement: [Norman Chan, nativeName, 陳德霖]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 陳德霖
Context triple: [Norman Chan, nativeName, 陳德霖]
  • 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. 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。
  • C. Chang Yung-fa
    Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
  • D. Hsu Yung-chang
    Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
  • E. 朱立倫
    朱立倫 is a Taiwanese politician who has served as New Taipei City Mayor and Chairman of the Kuomintang (KMT).
  • 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: 陳德霖
Triple: [Norman Chan, nativeName, 陳德霖]
Generated description
陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 陳德霖
Target entity description: 陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
  • 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. 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。
  • C. Chang Yung-fa
    Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
  • D. Hsu Yung-chang
    Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
  • E. 朱立倫
    朱立倫 is a Taiwanese politician who has served as New Taipei City Mayor and Chairman of the Kuomintang (KMT).
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c7fa1881908bdc844a7142eb65 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbcb6188190a8a4da6a080f0d61 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc7763488190b056ba759ac9fa73 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd07854c8190ac55586d245028a6 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:16 p.m.