Triple

T8530127
Position Surface form Disambiguated ID Type / Status
Subject Liu Shan E201922 entity
Predicate notableOfficial P1918 FINISHED
Object Fei Yi E708129 NE FINISHED

How this triple was built (2 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: [Liu Shan, notableOfficial, Fei Yi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fei Yi
Context triple: [Liu Shan, notableOfficial, Fei Yi]
  • A. Fei Yi chosen
    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.
  • B. Xie Fei
    Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
  • C. 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.
  • D. Hui Fei
    Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
  • E. Sun Yi
    Sun Yi was a lesser-known member of the Eastern Wu royal family during China’s Three Kingdoms period, recognized primarily as a younger brother of warlord and emperor Sun Quan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc6239a48190b8b4370341ec62c5 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 6:17 p.m.