Triple

T15692509
Position Surface form Disambiguated ID Type / Status
Subject Princess Changping E380366 entity
Predicate sibling P363 FINISHED
Object Zhu Ciyun unclear NED1 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 Ciyun | Statement: [Princess Changping, sibling, Zhu Ciyun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu Ciyun
Context triple: [Princess Changping, sibling, Zhu Ciyun]
  • A. Zhu Cijiong
    Zhu Cijiong was a Qing dynasty imperial prince, known as one of the sons of the Chongzhen Emperor, the last ruler of the Ming dynasty.
  • B. Zhu Cijiong
    Zhu Cijiong was a Ming dynasty imperial prince, known primarily as a younger brother of the ill-fated Princess Changping during the dynasty’s final years.
  • C. Zhu Cican
    Zhu Cican was a lesser-known member of the Ming imperial family, recognized primarily as a sibling of the tragic historical figure Princess Changping.
  • D. Zhu Yunjian
    Zhu Yunjian was a Ming dynasty imperial prince, known as a descendant of the Hongwu Emperor through his son Zhu Biao.
  • E. Zhu Yawen
    Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d232074819083f58de3ee5fbf7d completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 4:44 a.m.