Triple
T7464065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Madonna of the Chair (copy after Raphael) |
E176326
|
entity |
| Predicate | copyType |
P77268
|
FINISHED |
| Object | painted reproduction |
—
|
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: painted reproduction | Statement: [The Madonna of the Chair (copy after Raphael), copyType, painted reproduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyType Context triple: [The Madonna of the Chair (copy after Raphael), copyType, painted reproduction]
-
A.
crossType
Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
-
B.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
-
C.
copyleftType
Indicates that one entity specifies the type or category of copyleft licensing that governs another entity.
-
D.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
E.
snapshotType
Indicates the specific kind or category of snapshot associated with an entity or event.
- F. None of above. chosen
Provenance (4 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d9d25c819087efc772b5b127fa |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f386daac81908ded91b397b44148 |
completed | March 27, 2026, 9:15 p.m. |
Created at: March 27, 2026, 3:39 p.m.