Triple
T1977152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woman with a Hat |
E42940
|
entity |
| Predicate | subjectRelationToArtist |
P33013
|
FINISHED |
| Object | artist's wife |
—
|
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: artist's wife | Statement: [Woman with a Hat, subjectRelationToArtist, artist's wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectRelationToArtist Context triple: [Woman with a Hat, subjectRelationToArtist, artist's wife]
-
A.
relatedWorkByArtist
Indicates that one work is connected to another through having been created by the same artist.
-
B.
musicBrainzArtist
Indicates a relationship where an entity is associated with a specific artist entry in the MusicBrainz database.
-
C.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
D.
influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
-
E.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
- F. None of above. chosen
Provenance (4 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f9a87c8190816db3888787ad76 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb09b27e88190bff164040fef6d7e |
completed | March 7, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:36 p.m.