Triple
T1015558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florentine school |
E21921
|
entity |
| Predicate | developedTechnique |
P3047
|
FINISHED |
| Object | systematic linear perspective |
—
|
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: systematic linear perspective | Statement: [Florentine school, developedTechnique, systematic linear perspective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedTechnique Context triple: [Florentine school, developedTechnique, systematic linear perspective]
-
A.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
B.
developedThrough
Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
-
C.
developed
Indicates that one entity created, designed, or brought another entity into a more advanced or complete state through effort or work.
-
D.
developsTechnologyFor
Indicates that one entity creates, improves, or engineers technology specifically intended to be used by or to benefit another entity.
-
E.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c05060819083c51717874074c8 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.