Triple
T36449945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galarina |
E897979
|
entity |
| Predicate | artisticRoleOfSubject |
P73761
|
FINISHED |
| Object | central muse of Salvador Dalí |
—
|
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: central muse of Salvador Dalí | Statement: [Galarina, artisticRoleOfSubject, central muse of Salvador Dalí]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticRoleOfSubject Context triple: [Galarina, artisticRoleOfSubject, central muse of Salvador Dalí]
-
A.
roleInArt
chosen
Indicates the specific function, position, or contribution an entity has within a particular artwork or artistic production.
-
B.
performingArtRole
Indicates a role or function that an entity fulfills within the context of a performing arts activity or production.
-
C.
roleInArtScene
Indicates that an entity holds a particular function, position, or involvement within an artistic or cultural scene.
-
D.
portraitArtist
Indicates that one entity is the artist who created a portrait depicting the other entity.
-
E.
documentsArtistRole
Indicates that something records or specifies the particular role an artist has in relation to a work or project.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.