Triple
T26315187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columba Altarpiece |
E661951
|
entity |
| Predicate | centralPanel |
P62740
|
FINISHED |
| Object | Adoration of the Magi |
—
|
NE NERFINISHED |
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: Adoration of the Magi | Statement: [Columba Altarpiece, centralPanel, Adoration of the Magi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralPanel Context triple: [Columba Altarpiece, centralPanel, Adoration of the Magi]
-
A.
centralPanelDepicts
chosen
Indicates that the central panel of a multi-part work (such as a triptych or polyptych) visually represents or portrays a particular subject or scene.
-
B.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
-
C.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
D.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
E.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 10:24 p.m.