Triple
T15692495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Changping |
E380366
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Empress Zhou |
E422784
|
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 Zhou | Statement: [Princess Changping, mother, Empress Zhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empress Zhou Context triple: [Princess Changping, mother, Empress Zhou]
-
A.
Empress Zhou
chosen
Empress Zhou was the principal consort of the Chongzhen Emperor and the last empress of China’s Ming dynasty.
-
B.
Empress Zhang
Empress Zhang was the principal consort and empress of the Ming dynasty Tianqi Emperor, noted for her political influence at court during his reign.
-
C.
Empress Zhang
Empress Zhang was a Ming dynasty empress consort of the Jiajing Emperor, known for her influential yet often turbulent role within the imperial court.
-
D.
Empress Zhang
Empress Zhang was the primary consort and empress of the Hongzhi Emperor of the Ming dynasty, known for her political influence and role in the imperial court of late 15th-century China.
-
E.
Empress Zhang
Empress Zhang was the empress consort of Liu Shan, the second and last emperor of the Shu Han state during China’s Three Kingdoms period.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4f5a888190bd3681bcb9bbc02f |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59535908190a3d085a5e74b06e8 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:44 a.m.