Triple

T17585600
Position Surface form Disambiguated ID Type / Status
Subject Zhu Ziqing E428312 entity
Predicate employer P7 FINISHED
Object Qinghua School 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: Qinghua School | Statement: [Zhu Ziqing, employer, Qinghua School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qinghua School
Context triple: [Zhu Ziqing, employer, Qinghua School]
  • A. Peiyang University
    Peiyang University was the original name of Tianjin University, one of China’s earliest and most prestigious modern higher education institutions.
  • B. Peking University
    Peking University is a leading Chinese research university in Beijing, renowned for its academic excellence, historical significance, and global influence.
  • C. East China Normal University
    East China Normal University is a leading comprehensive research university in Shanghai, China, renowned for its strengths in teacher education, the humanities, and the social sciences.
  • D. Beijing Normal University chosen
    Beijing Normal University is a prestigious Chinese research university in Beijing, renowned for its strong programs in education and the humanities.
  • E. Sun Yat-sen University
    Sun Yat-sen University is a major comprehensive public research university in China, renowned for its strong academic programs and historical significance in southern 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d113b08190975506f3558c1eca completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.