Triple
T24893153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwadèbouke |
E623059
|
entity |
| Predicate | hasArtisticSpecialty |
P91702
|
FINISHED |
| Object | cut-metal artwork |
—
|
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: cut-metal artwork | Statement: [Kwadèbouke, hasArtisticSpecialty, cut-metal artwork]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtisticSpecialty Context triple: [Kwadèbouke, hasArtisticSpecialty, cut-metal artwork]
-
A.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
B.
artSpecialty
chosen
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
C.
hasArtisticActivity
Indicates that an entity engages in, participates in, or is associated with an artistic activity or creative practice.
-
D.
hasArtisticLevel
Indicates the degree or quality of artistic skill, sophistication, or creativity associated with an entity.
-
E.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 5:26 a.m.