Triple

T15430899
Position Surface form Disambiguated ID Type / Status
Subject Hongzhi Emperor E369635 entity
Predicate mother P120 FINISHED
Object Empress Xiaomu E385005 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 Xiaomu | Statement: [Hongzhi Emperor, mother, Empress Xiaomu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empress Xiaomu
Context triple: [Hongzhi Emperor, mother, Empress Xiaomu]
  • A. Empress Xiaomu chosen
    Empress Xiaomu was a Ming dynasty imperial consort posthumously honored as empress and best known as the birth mother of the Hongzhi Emperor.
  • B. Empress Xiaoci
    Empress Xiaoci was a Chinese imperial consort who became the daughter-in-law of Empress Ma and held the title of empress within the Ming dynasty 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 Xiaocigao
    Empress Xiaocigao, better known as Empress Ma, was the principal consort of the Hongwu Emperor and the respected founding empress of China’s Ming dynasty.
  • E. Empress Xiaocigao
    Empress Xiaocigao was the posthumous title of Lady Abahai, a primary consort of Nurhaci and an early Qing imperial matriarch whose status was later elevated to that of empress.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ed8ea888190bff8dc14859cca31 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d40d3388190b1bd724238f928b1 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:21 a.m.