Triple

T17504332
Position Surface form Disambiguated ID Type / Status
Subject Zhu Zaiji E426271 entity
Predicate spouse P13 FINISHED
Object Empress Xiaojing 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: Empress Xiaojing | Statement: [Zhu Zaiji, spouse, Empress Xiaojing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empress Xiaojing
Context triple: [Zhu Zaiji, spouse, Empress Xiaojing]
  • A. Empress Xiaojing
    Empress Xiaojing was the principal consort of the Ming dynasty Longqing Emperor and an empress of China during the 16th century.
  • B. Empress Xiaojing
    Empress Xiaojing was a Ming dynasty empress consort of the Wanli Emperor, noted as the mother of his heir and a central figure in late Ming court politics.
  • C. Empress Xiaojingcheng
    Empress Xiaojingcheng was a Qing dynasty imperial consort of the Daoguang Emperor who was posthumously honored as empress and known for her influential role in court politics.
  • D. Empress Xiaojiesheng
    Empress Xiaojiesheng was a Qing dynasty empress consort of the Kangxi Emperor, remembered as the mother of his successor, the Yongzheng Emperor.
  • E. Empress Xiaojingxian chosen
    Empress Xiaojingxian was the first empress consort of the Yongzheng Emperor of the Qing dynasty, known for her early death and posthumous elevation.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45214d44c8190b1bf04bf24ab8e81 completed April 19, 2026, 3:55 a.m.
Created at: April 10, 2026, 5:48 a.m.