Triple
T18391360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-Neck Records |
E449734
|
entity |
| Predicate | controlAspect |
P31808
|
FINISHED |
| Object | artistic control for The Isley Brothers |
—
|
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: artistic control for The Isley Brothers | Statement: [T-Neck Records, controlAspect, artistic control for The Isley Brothers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlAspect Context triple: [T-Neck Records, controlAspect, artistic control for The Isley Brothers]
-
A.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
B.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
C.
protectedAspect
Indicates that one entity is safeguarded, preserved, or kept safe by another entity or mechanism.
-
D.
controlsAccessTo
Indicates that one entity regulates, manages, or determines the ability of another entity to reach, use, or interact with a resource, location, or service.
-
E.
governsAspectOf
chosen
Indicates that one entity exercises control, regulation, or determining influence over a particular aspect or component of 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518422e488190bd06fad72efa1641 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.