Triple
T15489311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaosu |
E377136
|
entity |
| Predicate | title |
P38
|
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: [Empress Xiaosu, title, Empress Xiaosu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empress Xiaosu Context triple: [Empress Xiaosu, title, 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 Xiaoke
Empress Xiaoke was a Ming dynasty imperial consort best known as the mother of the Longqing Emperor and a posthumously honored empress.
-
C.
Empress Xiaojing
Empress Xiaojing was the principal consort of the Ming dynasty Longqing Emperor and an empress of China during the 16th century.
-
D.
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.
-
E.
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.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9300c5481909b719b65dcf548bf |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 3:48 a.m.