Triple
T19324628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanrong |
E483315
|
entity |
| Predicate | reignAsEmpressOfChinaEnd |
P135612
|
FINISHED |
| Object | 1924-11-05 |
—
|
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: 1924-11-05 | Statement: [Wanrong, reignAsEmpressOfChinaEnd, 1924-11-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsEmpressOfChinaEnd Context triple: [Wanrong, reignAsEmpressOfChinaEnd, 1924-11-05]
-
A.
reignAsEmpress
Indicates that a person holds and exercises the supreme imperial authority in the role of empress over a realm or empire.
-
B.
reignAsEmpressDowagerDuring
Indicates that a person held and exercised the role and authority of an empress dowager during a specified time period or reign.
-
C.
reignAsEmpressDowagerStart
Indicates the time at which a person begins their tenure or authority as an empress dowager.
-
D.
realmAsEmpress
Indicates that an entity holds the position or role of empress over a specified realm or domain.
-
E.
eraAsEmpress
Indicates the time period during which a person held the role or status of empress.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8af43c81908e5a8780c35a8e1d |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:32 p.m.