Triple

T5455196
Position Surface form Disambiguated ID Type / Status
Subject Premier of the Republic of China E122461 entity
Predicate officeHolders P9949 FINISHED
Object Tang Fei
Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
 E522271 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: Tang Fei | Statement: [Premier of the Republic of China, officeHolders, Tang Fei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tang Fei
Context triple: [Premier of the Republic of China, officeHolders, Tang Fei]
  • A. Xie Fei
    Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
  • B. Tang Yifei
    Tang Yifei is a Chinese actress known for her roles in television dramas and films.
  • C. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • D. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • E. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • 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: Tang Fei
Triple: [Premier of the Republic of China, officeHolders, Tang Fei]
Generated description
Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tang Fei
Target entity description: Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
  • A. Xie Fei
    Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
  • B. Tang Yifei
    Tang Yifei is a Chinese actress known for her roles in television dramas and films.
  • C. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • D. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • E. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91eeb7ac8190bf2e02f7946bf2bf completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4885dc708190aff55f4f5d0ff92f completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4917bab88190810ff9f32727dabc completed March 22, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69bf494e5e788190a4e2ec1b1bb44718 completed March 22, 2026, 1:43 a.m.
Created at: March 20, 2026, 2:08 p.m.