Triple
T27956672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Gypsy Encampment, Sunset |
E703568
|
entity |
| Predicate | hasDepictionMood |
P78812
|
FINISHED |
| Object | idyllic |
—
|
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: idyllic | Statement: [A Gypsy Encampment, Sunset, hasDepictionMood, idyllic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepictionMood Context triple: [A Gypsy Encampment, Sunset, hasDepictionMood, idyllic]
-
A.
depictsMood
chosen
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
B.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
-
C.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
D.
supportsDepictionOf
Indicates that one entity provides the medium, context, or framework that enables the depiction or representation of another entity.
-
E.
imageDepictedWith
Indicates that one entity is visually represented together with another entity within the same image.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 27, 2026, 7:28 p.m.