Triple

T16242290
Position Surface form Disambiguated ID Type / Status
Subject Zhengtong Emperor E394278 entity
Predicate spouse P13 FINISHED
Object Empress Xiaosu E377136 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: Empress Xiaosu | Statement: [Zhengtong Emperor, spouse, Empress Xiaosu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empress Xiaosu
Context triple: [Zhengtong Emperor, spouse, Empress Xiaosu]
  • A. Empress Xiaosu chosen
    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.
  • 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 Xiaoke
    Empress Xiaoke was a Ming dynasty imperial consort best known as the mother of the Longqing Emperor and a posthumously honored empress.
  • D. Empress Xiaojing
    Empress Xiaojing was the principal consort of the Ming dynasty Longqing Emperor and an empress of China during the 16th century.
  • E. Empress Xiaomucheng
    Empress Xiaomucheng was a Qing dynasty empress consort who died young and was posthumously honored as the first empress of the Daoguang 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455eeb4c81909066a8af78329ef3 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232399008190b23dfaec237563ef completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:04 a.m.