Triple
T26352524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mérode Altarpiece |
E662939
|
entity |
| Predicate | leftPanelSubject |
P160578
|
FINISHED |
| Object | donor’s wife |
—
|
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: donor’s wife | Statement: [Mérode Altarpiece, leftPanelSubject, donor’s wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftPanelSubject Context triple: [Mérode Altarpiece, leftPanelSubject, donor’s wife]
-
A.
leftPanelSubject
chosen
Indicates that an entity serves as the primary subject or focus displayed in the left panel of a user interface or layout.
-
B.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
-
C.
leftGroup
Indicates that an entity has departed from or is no longer a member of a particular group.
-
D.
panels
Indicates that one entity is composed of, covered by, or divided into flat sections or segments formed by another entity.
-
E.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fece7d881909ef602630bd8da89 |
completed | May 2, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10:46 p.m.