Triple

T13557309
Position Surface form Disambiguated ID Type / Status
Subject Longwu Emperor E323808 entity
Predicate personalName P24312 FINISHED
Object Zhu Yujian E1022389 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 Yujian | Statement: [Longwu Emperor, personalName, Zhu Yujian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhu Yujian
Context triple: [Longwu Emperor, personalName, Zhu Yujian]
  • A. Zhu Yujian chosen
    Zhu Yujian was a Ming dynasty prince who became the Longwu Emperor, a short-lived ruler of the Southern Ming resistance against the Qing conquest of China.
  • B. Yu Rongguang
    Yu Rongguang is a Chinese martial artist and actor known for his roles in Hong Kong action and martial arts films.
  • C. Zeng Chenggong
    Zeng Chenggong, better known in the West as Koxinga, was a 17th-century Ming loyalist military leader who expelled the Dutch from Taiwan and established a Chinese regime on the island.
  • D. Cheng Huan
    Cheng Huan is the gentle Chinese immigrant protagonist of D. W. Griffith’s 1919 silent film "Broken Blossoms," whose idealism and compassion tragically collide with the brutality of his surroundings.
  • E. Yu Qian
    Yu Qian was a prominent Ming dynasty statesman and military leader renowned for defending Beijing during the Tumu Crisis and helping secure the throne for the Jingtai Emperor.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967cea3c81909d9b600501897a41 completed May 9, 2026, 2:05 a.m.
Created at: April 9, 2026, 9:47 p.m.