Triple
T20529007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanne Hébuterne (au chapeau) |
E504017
|
entity |
| Predicate | depictsRelationshipToArtist |
P33013
|
FINISHED |
| Object | muse |
—
|
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: muse | Statement: [Jeanne Hébuterne (au chapeau), depictsRelationshipToArtist, muse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsRelationshipToArtist Context triple: [Jeanne Hébuterne (au chapeau), depictsRelationshipToArtist, muse]
-
A.
subjectRelationToArtist
chosen
Indicates the nature of the relationship or connection that the subject has to the artist.
-
B.
representsArtist
Indicates that one entity serves as the artistic representative or agent for another artist entity.
-
C.
reflectsInterestOfArtistIn
Indicates that something expresses or demonstrates the artistic interest or concern of a particular artist.
-
D.
describedByArtistAs
Indicates that an entity is characterized or portrayed in a particular way by a specific artist.
-
E.
worksWithArtist
Indicates that one entity collaborates or engages in professional work with an artist.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06926248190942fc9608e6b85fd |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.