Triple
T23337600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Xiaojingcheng |
E591638
|
entity |
| Predicate | successorAsPrincipalWomanOfCourt |
P151922
|
FINISHED |
| Object | Empress Xiaodexian |
—
|
NE NERFINISHED |
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 Xiaodexian | Statement: [Empress Xiaojingcheng, successorAsPrincipalWomanOfCourt, Empress Xiaodexian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsPrincipalWomanOfCourt Context triple: [Empress Xiaojingcheng, successorAsPrincipalWomanOfCourt, Empress Xiaodexian]
-
A.
successorAsPrincipalQueen
Indicates that one individual becomes the next principal queen, directly succeeding another in that primary royal consort role.
-
B.
successorAsGreatRoyalWife
Indicates that one individual became the next holder of the position or role of Great Royal Wife after another individual.
-
C.
successorAsQueenConsort
Indicates that one individual became the next queen consort following another in a royal succession.
-
D.
successorAsQueenMother
Indicates that one individual assumed the role of Queen Mother directly after another individual, succeeding her in that specific position.
-
E.
successorAsSecondLady
Indicates that one person became the next Second Lady, directly following another in that role.
- F. None of above. chosen
Provenance (4 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1982f8574819090f8b0ba249237a3 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:17 p.m.