Triple
T4638654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Majesty The Empress |
E101595
|
entity |
| Predicate | styleType |
P37510
|
FINISHED |
| Object | majesty style |
—
|
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: majesty style | Statement: [Her Majesty The Empress, styleType, majesty style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleType Context triple: [Her Majesty The Empress, styleType, majesty style]
-
A.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
B.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
C.
styledAs
chosen
Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
-
D.
styleFamily
Indicates that one style is grouped within the same stylistic family or category as another style.
-
E.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a64214481908a207e8070cc7a45 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.