Triple
T22847512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Longyu |
E566262
|
entity |
| Predicate | successorAsEmpressDowager |
P149940
|
FINISHED |
| Object | none |
—
|
LITERAL 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: none | Statement: [Empress Longyu, successorAsEmpressDowager, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsEmpressDowager Context triple: [Empress Longyu, successorAsEmpressDowager, none]
-
A.
successorAsPrimaryEmpressDowager
Indicates that one individual becomes the next holder of the position of primary empress dowager after another, succeeding her in that specific senior imperial consort role.
-
B.
successorAsEmpress
Indicates that one person became the next empress following another, directly succeeding her in that imperial role.
-
C.
predecessorAsPrimaryEmpressDowager
Indicates that one individual previously held the role of primary empress dowager immediately before another individual.
-
D.
reignAsEmpressDowagerDuring
Indicates that a person held and exercised the role and authority of an empress dowager during a specified time period or reign.
-
E.
predecessorAsEmpressConsort
Indicates that one empress consort held the position immediately before another empress consort in a succession.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e89ab348190a31260221195ae67 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.