Triple
T28919624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sculpture to Be Lost in the Forest |
E733470
|
entity |
| Predicate | relatedToArtistTheme |
P202595
|
FINISHED |
| Object | fusion of art and nature |
—
|
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: fusion of art and nature | Statement: [Sculpture to Be Lost in the Forest, relatedToArtistTheme, fusion of art and nature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToArtistTheme Context triple: [Sculpture to Be Lost in the Forest, relatedToArtistTheme, fusion of art and nature]
-
A.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
B.
associatedWithSongTheme
Indicates a relationship where something is linked or connected to the thematic content or subject matter of a song.
-
C.
relatedWorkByArtist
Indicates that one work is connected to another through having been created by the same artist.
-
D.
associatedWithArtistSeries
Indicates a relationship where something is connected or linked to a particular artist series.
-
E.
musicalArtistAssociated
Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
| PDg | Predicate description generation | batch_6a009f52ef9c8190be0e8ea2e2cd484f |
completed | May 10, 2026, 3:08 p.m. |
Created at: April 28, 2026, 8:18 a.m.