Triple
T9467450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painted Hall |
E228306
|
entity |
| Predicate | ceilingSubject |
P64147
|
FINISHED |
| Object | allegorical scenes of the Protestant succession |
—
|
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: allegorical scenes of the Protestant succession | Statement: [Painted Hall, ceilingSubject, allegorical scenes of the Protestant succession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceilingSubject Context triple: [Painted Hall, ceilingSubject, allegorical scenes of the Protestant succession]
-
A.
ceiling
Indicates that one entity is the smallest value that is greater than or equal to another value, typically representing a rounding-up operation.
-
B.
ceilingPaintingSubject
chosen
Indicates that the subject depicted or represented in a painting is located on or associated with a ceiling.
-
C.
ceilingMaterial
Indicates the material from which a ceiling is constructed or finished.
-
D.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
E.
ceilingRestored
Indicates that a previously damaged or altered ceiling has been returned to its original or intended condition.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdd7d048190930a15cb2a2d99ea |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:53 p.m.