Triple
T24604821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Realistic Manifesto |
E608935
|
entity |
| Predicate | inArtDiscipline |
P9512
|
FINISHED |
| Object | sculpture |
—
|
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: sculpture | Statement: [Realistic Manifesto, inArtDiscipline, sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inArtDiscipline Context triple: [Realistic Manifesto, inArtDiscipline, sculpture]
-
A.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
B.
hasArtisticDiscipline
chosen
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
C.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
D.
exhibitionDiscipline
Indicates the academic or artistic field that characterizes or organizes an exhibition.
-
E.
inArtSince
Indicates that an entity has been involved or active in the field of art starting from a specified time.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.