Triple
T32489084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Shanyang |
E830328
|
entity |
| Predicate | statusOfFormerEmperor |
P197637
|
FINISHED |
| Object | demoted to duke |
—
|
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: demoted to duke | Statement: [Duke of Shanyang, statusOfFormerEmperor, demoted to duke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfFormerEmperor Context triple: [Duke of Shanyang, statusOfFormerEmperor, demoted to duke]
-
A.
hasEmperor
Indicates that an entity is ruled or governed by an emperor.
-
B.
successorAsRetiredEmperorInfluence
Indicates that one entity, as the successor, is influenced by the political or social legacy of another entity who has retired from the position of emperor.
-
C.
wasEmperorOf
Indicates that one entity held the position and authority of emperor over another entity (typically a state, empire, or territory).
-
D.
finalEmperorOf
Indicates that one entity is the last ruler to hold the imperial title over another entity (such as a state, dynasty, or empire).
-
E.
eraOfEmperor
Indicates the historical time period during which a particular emperor held power or reigned.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_69fe9fb88db08190a8f4af350633330e |
completed | May 9, 2026, 2:45 a.m. |
Created at: May 1, 2026, 12:59 a.m.