Triple
T33641382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Jazz and Variety |
E861842
|
entity |
| Predicate | performerDemographic |
P197368
|
FINISHED |
| Object | Black South African artists |
—
|
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: Black South African artists | Statement: [African Jazz and Variety, performerDemographic, Black South African artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerDemographic Context triple: [African Jazz and Variety, performerDemographic, Black South African artists]
-
A.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
B.
performerDescribedAs
Indicates that a performer is characterized or referred to using a particular description, label, or role.
-
C.
featuresArtistAgeCategory
Indicates that the relationship specifies the age-based category or age group classification associated with an artist.
-
D.
intendedPerformerAge
Indicates the age that a performer is expected or intended to be for a given role, performance, or context.
-
E.
featuresPerformerType
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
| PDg | Predicate description generation | batch_69fe8dde8d008190b03dc0f97618073c |
completed | May 9, 2026, 1:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.