Triple
T304784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self-Portrait with Two Circles |
E6272
|
entity |
| Predicate | artworkCondition |
P9592
|
FINISHED |
| Object | well preserved |
—
|
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: well preserved | Statement: [Self-Portrait with Two Circles, artworkCondition, well preserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artworkCondition Context triple: [Self-Portrait with Two Circles, artworkCondition, well preserved]
-
A.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
B.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
C.
artForm
Indicates the type or category of artistic expression that characterizes or defines something (e.g., painting, music, dance).
-
D.
stateOfPreservation
chosen
Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
-
E.
exhibitsWorkOf
Indicates that one entity displays or presents the creative works produced by another entity.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea11c4908190a8723033bdf6f479 |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e93db11881909b07ba5e76d91feb |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.