Triple

T19603153
Position Surface form Disambiguated ID Type / Status
Subject Zhao Erkang E470534 entity
Predicate appearsIn P795 FINISHED
Object Huan Zhu Ge Ge NE NERFINISHED

How this triple was built (3 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: Huan Zhu Ge Ge | Statement: [Zhao Erkang, appearsIn, Huan Zhu Ge Ge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huan Zhu Ge Ge
Context triple: [Zhao Erkang, appearsIn, Huan Zhu Ge Ge]
  • A. Bishu Shanzhuang
    Bishu Shanzhuang is a vast Qing dynasty imperial summer resort and palace complex in Chengde, China, renowned for its landscaped gardens, lakes, and diverse architectural styles.
  • B. The Legend of Xiao Zhuang
    The Legend of Xiao Zhuang is a Chinese historical drama television series centered on the life and political struggles of Empress Dowager Xiaozhuang during the early Qing dynasty.
  • C. Xiaoerjing
    Xiaoerjing is an Arabic-based writing system historically used to transcribe Sinitic languages, especially by Muslim communities in China such as the Hui.
  • D. Yankai
    Yankai is a given name most notably associated with Tan Yankai, a prominent early 20th-century Chinese politician and statesman.
  • E. Xiaozhuan
    Xiaozhuan is an ancient standardized form of Chinese calligraphic writing that evolved during the Qin dynasty and served as a key step between earlier scripts and later regular script.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huan Zhu Ge Ge
Target entity description: Huan Zhu Ge Ge is a hugely popular 1990s Chinese television drama series set in the Qing dynasty, following the comedic and romantic adventures of a spirited young woman who unexpectedly becomes a princess.
  • A. Bishu Shanzhuang
    Bishu Shanzhuang is a vast Qing dynasty imperial summer resort and palace complex in Chengde, China, renowned for its landscaped gardens, lakes, and diverse architectural styles.
  • B. The Legend of Xiao Zhuang
    The Legend of Xiao Zhuang is a Chinese historical drama television series centered on the life and political struggles of Empress Dowager Xiaozhuang during the early Qing dynasty.
  • C. Xiaoerjing
    Xiaoerjing is an Arabic-based writing system historically used to transcribe Sinitic languages, especially by Muslim communities in China such as the Hui.
  • D. Yankai
    Yankai is a given name most notably associated with Tan Yankai, a prominent early 20th-century Chinese politician and statesman.
  • E. Xiaozhuan
    Xiaozhuan is an ancient standardized form of Chinese calligraphic writing that evolved during the Qin dynasty and served as a key step between earlier scripts and later regular script.
  • F. None of above. chosen

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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64080a57c8190837cbe82b93163bf completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.