Triple
T26058598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacek Malczewski Museum |
E657193
|
entity |
| Predicate | hasGenreOfArt |
P8464
|
FINISHED |
| Object | Symbolism |
—
|
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: Symbolism | Statement: [Jacek Malczewski Museum, hasGenreOfArt, Symbolism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfArt Context triple: [Jacek Malczewski Museum, hasGenreOfArt, Symbolism]
-
A.
hasArtisticGenre
chosen
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
B.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
C.
inArtGenre
Indicates that an artwork or artistic work belongs to, is classified under, or is created in a particular art genre.
-
D.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
E.
hasGenreRelation
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 7:14 p.m.