Triple
T30793402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aphrodite of Arles |
E784161
|
entity |
| Predicate | hasDrapery |
P73934
|
FINISHED |
| Object | draped lower body |
—
|
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: draped lower body | Statement: [Aphrodite of Arles, hasDrapery, draped lower body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrapery Context triple: [Aphrodite of Arles, hasDrapery, draped lower body]
-
A.
hasDraperies
chosen
Indicates that one entity is furnished with or contains draperies (such as curtains or hanging fabric coverings).
-
B.
hasCurtainMechanism
Indicates that one entity is equipped with or includes a mechanism for operating a curtain.
-
C.
hasAwningOption
Indicates that an entity offers or includes an awning as an available option.
-
D.
usesBlinds
Indicates that an entity employs blinds (such as window blinds) as a means of covering, shading, or controlling light or visibility.
-
E.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
- 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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:42 p.m.