Triple
T27987491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portraits of Virginia Woolf |
E706781
|
entity |
| Predicate | hasCreatorArtMovement |
P105585
|
FINISHED |
| Object | Surrealism |
—
|
NE NERFINISHED |
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: Surrealism | Statement: [Portraits of Virginia Woolf, hasCreatorArtMovement, Surrealism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatorArtMovement Context triple: [Portraits of Virginia Woolf, hasCreatorArtMovement, Surrealism]
-
A.
artisticMovementOfCreator
chosen
Indicates the artistic movement or style with which a creator is associated or to which their work belongs.
-
B.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
C.
isDepictedInArtMovement
Indicates that an entity is portrayed or represented within artworks associated with a particular art movement.
-
D.
hasFamousArtwork
Indicates that an entity possesses or is associated with a well-known or widely recognized artwork.
-
E.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 7:48 p.m.