Triple
T2918048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Goulue |
E78652
|
entity |
| Predicate | hasRepresentationInArt |
P20066
|
FINISHED |
| Object | posters by Henri de Toulouse-Lautrec |
—
|
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: posters by Henri de Toulouse-Lautrec | Statement: [La Goulue, hasRepresentationInArt, posters by Henri de Toulouse-Lautrec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationInArt Context triple: [La Goulue, hasRepresentationInArt, posters by Henri de Toulouse-Lautrec]
-
A.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
B.
artisticDepiction
chosen
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
C.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
-
D.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:54 p.m.