Triple
T20703185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Mirrors |
E508832
|
entity |
| Predicate | ceilingPaintingsDepict |
P64147
|
FINISHED |
| Object | glorification of Louis XIV |
—
|
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: glorification of Louis XIV | Statement: [Hall of Mirrors, ceilingPaintingsDepict, glorification of Louis XIV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceilingPaintingsDepict Context triple: [Hall of Mirrors, ceilingPaintingsDepict, glorification of Louis XIV]
-
A.
ceilingPaintingSubject
chosen
Indicates that the subject depicted or represented in a painting is located on or associated with a ceiling.
-
B.
ceilingPaintingBy
Indicates that a ceiling artwork or painting was created by a particular artist or creator.
-
C.
ceilingFrescoTitle
Indicates that one entity is the title assigned to a ceiling fresco associated with another entity.
-
D.
roofPaintingsName
Indicates the naming or designation assigned to specific roof paintings.
-
E.
ceiling
Indicates that one entity is the smallest value that is greater than or equal to another value, typically representing a rounding-up operation.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18dbda081908217dcb61cbf7ba4 |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:13 p.m.