Triple

T17844796
Position Surface form Disambiguated ID Type / Status
Subject Emperor Shenzong of Ming E445630 entity
Predicate personalName P24312 FINISHED
Object Zhu Yijun 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: Zhu Yijun | Statement: [Emperor Shenzong of Ming, personalName, Zhu Yijun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu Yijun
Context triple: [Emperor Shenzong of Ming, personalName, Zhu Yijun]
  • A. Zhu Yijun chosen
    Zhu Yijun was the Ming dynasty ruler better known as the Wanli Emperor, whose long reign from 1572 to 1620 saw both early prosperity and later decline of the dynasty.
  • B. Zhu Junyi
    Zhu Junyi is a former senior Chinese police and security official best known for his involvement in major corruption scandals.
  • C. Zhu Yunjian
    Zhu Yunjian was a Ming dynasty imperial prince, known as a descendant of the Hongwu Emperor through his son Zhu Biao.
  • D. Zhu Jun
    Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
  • E. Zhu Zhanyong
    Zhu Zhanyong was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.