Triple
T27956224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taddei Tondo |
E703556
|
entity |
| Predicate | artworkDimensionType |
P163808
|
FINISHED |
| Object | circular panel |
—
|
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: circular panel | Statement: [Taddei Tondo, artworkDimensionType, circular panel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artworkDimensionType Context triple: [Taddei Tondo, artworkDimensionType, circular panel]
-
A.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
B.
typeOfWorksListed
Indicates that the kinds or categories of works associated with an entity are specified or enumerated.
-
C.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
D.
approximateDimensionsOfWorks
Indicates that one entity specifies the estimated or not-exact measurements (such as height, width, depth, or overall size) of another entity’s works.
-
E.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 7:28 p.m.