Triple

T15833823
Position Surface form Disambiguated ID Type / Status
Subject Tai Jeng-wu E383935 entity
Predicate nativeName P15 FINISHED
Object 戴正吳
戴正吳 is a Taiwanese business executive best known for serving as president and CEO of Sharp Corporation after its acquisition by Foxconn.
E1180430 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: 戴正吳 | Statement: [Tai Jeng-wu, nativeName, 戴正吳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 戴正吳
Context triple: [Tai Jeng-wu, nativeName, 戴正吳]
  • A. 吳彥祖
    吳彥祖是一位在香港影壇成名的美籍華人男演員、導演及製片人,以多部動作與文藝電影中的精湛演技和型男形象廣為人知。
  • B. 蔡鍔
    蔡鍔 was a prominent early 20th-century Chinese general and revolutionary best known for leading the opposition to Yuan Shikai’s attempt to restore the monarchy.
  • C. 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.
  • D. 啟臣
    啟臣 is the Chinese given name of Taiwanese politician Johnny Chiang, a former chairman of the Kuomintang (KMT).
  • E. 陳士駿
    陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
  • 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: 戴正吳
Triple: [Tai Jeng-wu, nativeName, 戴正吳]
Generated description
戴正吳 is a Taiwanese business executive best known for serving as president and CEO of Sharp Corporation after its acquisition by Foxconn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 戴正吳
Target entity description: 戴正吳 is a Taiwanese business executive best known for serving as president and CEO of Sharp Corporation after its acquisition by Foxconn.
  • A. 吳彥祖
    吳彥祖是一位在香港影壇成名的美籍華人男演員、導演及製片人,以多部動作與文藝電影中的精湛演技和型男形象廣為人知。
  • B. 蔡鍔
    蔡鍔 was a prominent early 20th-century Chinese general and revolutionary best known for leading the opposition to Yuan Shikai’s attempt to restore the monarchy.
  • C. 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.
  • D. 啟臣
    啟臣 is the Chinese given name of Taiwanese politician Johnny Chiang, a former chairman of the Kuomintang (KMT).
  • E. 陳士駿
    陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e6670d48190a456581dd951f168 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa527af048190b1f87d85e50bf254 completed May 9, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5df00e481909e203e78940395ed completed May 9, 2026, 9:23 p.m.
Created at: April 10, 2026, 4:49 a.m.