Triple

T7824739
Position Surface form Disambiguated ID Type / Status
Subject Shu Han E181217 entity
Predicate notableOfficial P1918 FINISHED
Object Fei Yi
Fei Yi was a prominent statesman and regent of the Shu Han kingdom during China’s Three Kingdoms period, known for his diplomatic skill and capable governance.
 E708129 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: Fei Yi | Statement: [Shu Han, notableOfficial, Fei Yi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fei Yi
Context triple: [Shu Han, notableOfficial, Fei Yi]
  • 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 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.
  • C. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • D. Tang Yifei
    Tang Yifei is a Chinese actress known for her roles in television dramas and films.
  • E. Lien Fang Yu
    Lien Fang Yu is a Taiwanese public figure and former television host best known as the wife of prominent Kuomintang politician and former Vice President of Taiwan, Lien Chan.
  • 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: Fei Yi
Triple: [Shu Han, notableOfficial, Fei Yi]
Generated description
Fei Yi was a prominent statesman and regent of the Shu Han kingdom during China’s Three Kingdoms period, known for his diplomatic skill and capable governance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fei Yi
Target entity description: Fei Yi was a prominent statesman and regent of the Shu Han kingdom during China’s Three Kingdoms period, known for his diplomatic skill and capable governance.
  • 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 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.
  • C. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • D. Tang Yifei
    Tang Yifei is a Chinese actress known for her roles in television dramas and films.
  • E. Lien Fang Yu
    Lien Fang Yu is a Taiwanese public figure and former television host best known as the wife of prominent Kuomintang politician and former Vice President of Taiwan, Lien Chan.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa0c1f5c8190b16db20daad159a1 completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55e579e081909f5036dd33d64e38 completed March 31, 2026, 11:16 p.m.
NEDg Description generation batch_69cc58a76b90819092de63b3b23e70af completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cfccc9c8190adcbaee96c17711e completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 4:42 p.m.