Triple
T27932799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Wu |
E708027
|
entity |
| Predicate | childTitleOfSunQuan |
P60911
|
FINISHED |
| Object | founding emperor of Eastern Wu |
—
|
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: founding emperor of Eastern Wu | Statement: [Lady Wu, childTitleOfSunQuan, founding emperor of Eastern Wu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childTitleOfSunQuan Context triple: [Lady Wu, childTitleOfSunQuan, founding emperor of Eastern Wu]
-
A.
childDynasty
Indicates that one dynasty is the direct descendant or successor of another dynasty in a genealogical or historical line.
-
B.
hasJuniorEmperorTitle
Indicates that an entity holds a subordinate or junior-level emperor title in relation to a higher-ranking imperial authority.
-
C.
childTitle
chosen
Indicates that one entity holds the title or designation of a child in relation to another entity.
-
D.
EasternWuForces
Indicates a relationship where military forces are associated with, belong to, or act on behalf of the state or faction of Eastern Wu.
-
E.
ChineseCommander
Indicates that an individual holds a commander role within a Chinese military or armed forces context.
- F. None of above.
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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:04 p.m.