Triple

T21193568
Position Surface form Disambiguated ID Type / Status
Subject Su Tseng-chang E522269 entity
Predicate nativeName P15 FINISHED
Object 蘇貞昌
蘇貞昌 is a Taiwanese politician of the Democratic Progressive Party who has served multiple times as Premier of the Republic of China (Taiwan) and is known as one of the party’s key leaders.
E1472365 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: 蘇貞昌 | Statement: [Su Tseng-chang, nativeName, 蘇貞昌]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 蘇貞昌
Context triple: [Su Tseng-chang, nativeName, 蘇貞昌]
  • A. 賴清德
    賴清德 is a Taiwanese politician who has served as president of the Republic of China (Taiwan) and is a leading figure in the Democratic Progressive Party.
  • B. 江啟臣
    江啟臣 is a Taiwanese politician who has served as a legislator and as chairman of the Kuomintang (KMT).
  • C. 朱立倫
    朱立倫 is a Taiwanese politician who has served as New Taipei City Mayor and Chairman of the Kuomintang (KMT).
  • D. 陳建仁
    陳建仁 is a Taiwanese epidemiologist and politician who has served as Vice President of the Republic of China (Taiwan).
  • E. 吳敦義
    吳敦義是一位臺灣政治人物,曾任中華民國副總統及中國國民黨主席。
  • 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: 蘇貞昌
Triple: [Su Tseng-chang, nativeName, 蘇貞昌]
Generated description
蘇貞昌 is a Taiwanese politician of the Democratic Progressive Party who has served multiple times as Premier of the Republic of China (Taiwan) and is known as one of the party’s key leaders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 蘇貞昌
Target entity description: 蘇貞昌 is a Taiwanese politician of the Democratic Progressive Party who has served multiple times as Premier of the Republic of China (Taiwan) and is known as one of the party’s key leaders.
  • A. 賴清德
    賴清德 is a Taiwanese politician who has served as president of the Republic of China (Taiwan) and is a leading figure in the Democratic Progressive Party.
  • B. 江啟臣
    江啟臣 is a Taiwanese politician who has served as a legislator and as chairman of the Kuomintang (KMT).
  • C. 朱立倫
    朱立倫 is a Taiwanese politician who has served as New Taipei City Mayor and Chairman of the Kuomintang (KMT).
  • D. 陳建仁
    陳建仁 is a Taiwanese epidemiologist and politician who has served as Vice President of the Republic of China (Taiwan).
  • E. 吳敦義
    吳敦義是一位臺灣政治人物,曾任中華民國副總統及中國國民黨主席。
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73339aaa081909d9009c58c386422 completed April 21, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ec8db108190b2decdfe28a8af08 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3:07 p.m.