Triple
T32334721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Delvaux |
E826140
|
entity |
| Predicate | notableFeatureOfStyle |
P46274
|
FINISHED |
| Object | use of nude female figures |
—
|
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: use of nude female figures | Statement: [Paul Delvaux, notableFeatureOfStyle, use of nude female figures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFeatureOfStyle Context triple: [Paul Delvaux, notableFeatureOfStyle, use of nude female figures]
-
A.
notableStyleFeature
chosen
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
B.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
C.
notableCollectionCharacteristic
Indicates that a collection is distinguished by a particular defining feature or quality that makes it notable.
-
D.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
E.
hasParticularNotableCharacteristic
Indicates that an entity possesses a specific, noteworthy characteristic or quality that distinguishes it in some relevant 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:48 a.m.