Triple

T16027542
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaojie E388755 entity
Predicate successorAsEmpressConsort P15468 FINISHED
Object Empress Xiaojiesu E388755 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 Xiaojiesu | Statement: [Empress Xiaojie, successorAsEmpressConsort, Empress Xiaojiesu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empress Xiaojiesu
Context triple: [Empress Xiaojie, successorAsEmpressConsort, Empress Xiaojiesu]
  • A. 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.
  • B. Empress Xiaojing
    Empress Xiaojing was the principal consort of the Ming dynasty Longqing Emperor and an empress of China during the 16th century.
  • C. 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.
  • D. 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.
  • E. Empress Xiaojie chosen
    Empress Xiaojie was the primary consort and empress of the Zhengde Emperor during the Ming dynasty in China.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00077c8e2881909a11a4c53691d187 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:56 a.m.