Triple

T15106838
Position Surface form Disambiguated ID Type / Status
Subject Crown Prince of the Ming dynasty E360808 entity
Predicate hasNotableOfficeHolder P537 FINISHED
Object Zhu Yijun E429048 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: Zhu Yijun | Statement: [Crown Prince of the Ming dynasty, hasNotableOfficeHolder, Zhu Yijun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu Yijun
Context triple: [Crown Prince of the Ming dynasty, hasNotableOfficeHolder, 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 (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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058af8988190977d998f85893836 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f24967c8190b0bdb84b88a0aaa3 completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 3:05 a.m.