Triple

T17615312
Position Surface form Disambiguated ID Type / Status
Subject Cao Xue E429067 entity
Predicate name P16 FINISHED
Object Cao Xue NE NERFINISHED

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: Cao Xue | Statement: [Cao Xue, name, Cao Xue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cao Xue
Context triple: [Cao Xue, name, Cao Xue]
  • A. Cao Xue chosen
    Cao Xue is a Chinese designer best known as the creator of Bing Dwen Dwen, the panda mascot of the Beijing 2022 Winter Olympics.
  • B. Cao Huan
    Cao Huan was the final emperor of the Cao Wei state during China’s Three Kingdoms period, under whose reign Wei was ultimately usurped by the Jin dynasty.
  • C. Xue Yinxian
    Xue Yinxian is a Chinese sports doctor and whistleblower known for exposing state-sponsored doping in Chinese athletics.
  • D. Xiong Huai
    Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
  • E. Xue Xiaoqing
    Xue Xiaoqing is a notable individual who bears the Chinese surname Xue, recognized as a distinguished representative of that family name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.