Triple

T17504314
Position Surface form Disambiguated ID Type / Status
Subject Zhu Zaiji E426271 entity
Predicate mother P120 FINISHED
Object Empress Xiaoke 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 Xiaoke | Statement: [Zhu Zaiji, mother, Empress Xiaoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empress Xiaoke
Context triple: [Zhu Zaiji, mother, Empress Xiaoke]
  • A. Empress Xiaoke chosen
    Empress Xiaoke was a Ming dynasty imperial consort best known as the mother of the Longqing Emperor and a posthumously honored empress.
  • B. Empress Xiaochengsu
    Empress Xiaochengsu was a Ming dynasty empress consort of the Chenghua Emperor, posthumously honored for her virtue and status in the imperial court.
  • C. Empress Xiaosu
    Empress Xiaosu was a Ming dynasty empress consort and the mother of the Chenghua Emperor, remembered as a significant imperial matriarch in 15th-century China.
  • D. Empress Xiaoyuanjing
    Empress Xiaoyuanjing was a Ming dynasty empress consort of the Jingtai Emperor, Zhu Qiyu, noted primarily for her posthumous recognition and role within the imperial court.
  • E. Empress Xiaoyiren
    Empress Xiaoyiren was a Qing dynasty empress consort of the Kangxi Emperor, noted for her Manchu heritage and posthumous elevation to empress status.
  • 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.