Triple
T31315450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22 (Taylor’s Version) |
E798581
|
entity |
| Predicate | rightsMotivation |
P171564
|
FINISHED |
| Object | artist ownership of masters |
—
|
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 ownership of masters | Statement: [22 (Taylor’s Version), rightsMotivation, artist ownership of masters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsMotivation Context triple: [22 (Taylor’s Version), rightsMotivation, artist ownership of masters]
-
A.
rights
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
B.
rightsImplicated
Indicates that certain rights are affected, challenged, or brought into question as a consequence of the related action or relationship.
-
C.
rightsConcept
Indicates that there is a conceptual or definitional relationship involving rights, such as the idea, principle, or framework underlying specific rights.
-
D.
rightsEnforced
Indicates that legal or moral rights are actively upheld, protected, or compelled through appropriate mechanisms or actions.
-
E.
rightsCategory
Indicates the classification or type of rights associated with an entity or relationship.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:15 p.m.