Triple

T22031640
Position Surface form Disambiguated ID Type / Status
Subject Jiyun E544100 entity
Predicate relatedWork P37 FINISHED
Object Yunlüe 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: Yunlüe | Statement: [Jiyun, relatedWork, Yunlüe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yunlüe
Context triple: [Jiyun, relatedWork, Yunlüe]
  • A. Yunlüe chosen
    Yunlüe is a historical Chinese phonological rime book that records and analyzes the sounds of Early Mandarin.
  • B. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • C. Muzong
    Muzong is the temple name of the Tongzhi Emperor, a Qing dynasty ruler who reigned briefly in the late 19th century during a period of internal rebellion and external pressure on China.
  • D. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • E. Rongyuan
    Rongyuan was a Chinese nobleman of the early 20th century, best known as the father of Wanrong, the last empress of China and wife of the final Qing emperor Puyi.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127edd5b48190a9aeb2840105c181 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.