Triple
T5258097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegories of the Muses murals |
E118751
|
entity |
| Predicate | usesVisualMotif |
P62558
|
FINISHED |
| Object | personification |
—
|
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: personification | Statement: [Allegories of the Muses murals, usesVisualMotif, personification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVisualMotif Context triple: [Allegories of the Muses murals, usesVisualMotif, personification]
-
A.
usesDisplayServer
Indicates that one entity relies on or operates through a display server provided or managed by another entity.
-
B.
usesGUIFramework
Indicates that one entity employs or is built upon a particular graphical user interface (GUI) framework to provide its visual or interactive functionality.
-
C.
usesDisplayServerProtocol
Indicates that one entity operates using, or communicates through, a particular display server protocol provided by another entity.
-
D.
typicalWindowManagers
Indicates that the subject is associated with or characterized by commonly used or standard window managers.
-
E.
desktopEnvironmentOptions
Indicates the available desktop environment choices that can be selected or configured for a system or user.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7bcabe58819096255672664513b1 |
completed | March 20, 2026, 4:54 p.m. |
Created at: March 20, 2026, 1:50 p.m.