Triple
T36249282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Aline Chassériau |
E891750
|
entity |
| Predicate | hasSubjectRelationshipToArtist |
P33013
|
FINISHED |
| Object | younger sister of the artist |
—
|
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: younger sister of the artist | Statement: [Portrait of Aline Chassériau, hasSubjectRelationshipToArtist, younger sister of the artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectRelationshipToArtist Context triple: [Portrait of Aline Chassériau, hasSubjectRelationshipToArtist, younger sister of the artist]
-
A.
subjectRelationToArtist
chosen
Indicates the nature of the relationship or connection that the subject has to the artist.
-
B.
belongsToArtist
Indicates that something is owned, created, or otherwise associated with a specific artist.
-
C.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
D.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
E.
referencedByArtist
Indicates that an artist has mentioned, cited, or otherwise referred to the target entity in their work or related materials.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a000fda03948190881b7275f249768f |
completed | May 10, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_6a000f607f1881908ee750d58da91690 |
completed | May 10, 2026, 4:53 a.m. |
Created at: May 3, 2026, 4:09 p.m.