Triple
T35282609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Classic |
E1018973
|
entity |
| Predicate | composerAdaptations |
P102761
|
FINISHED |
| Object | classical compositions |
—
|
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: classical compositions | Statement: [Afro-Classic, composerAdaptations, classical compositions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerAdaptations Context triple: [Afro-Classic, composerAdaptations, classical compositions]
-
A.
collaboratedOnAdaptationOf
Indicates that two or more entities worked together on creating or producing an adaptation of an existing work.
-
B.
adaptsWorkOf
chosen
Indicates that one entity modifies, transforms, or reinterprets the work created by another entity into a new form or context.
-
C.
hasAdaptationsOfWorksIn
Indicates that an entity includes or contains adaptations of works that originate from another specified entity or context.
-
D.
adaptationCoauthor
Indicates that the subject is a coauthor of an adaptation (e.g., a derivative or adapted work) based on another work.
-
E.
adaptedWithin
Indicates that one entity has been modified, adjusted, or tailored to function appropriately within the context, scope, or boundaries defined by another entity.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 3, 2026, 4:03 p.m.