Triple
T18355641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Rider Music |
E439789
|
entity |
| Predicate | ownsCopyrightOf |
P1365
|
FINISHED |
| Object | songs written by Bob Dylan |
—
|
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: songs written by Bob Dylan | Statement: [Special Rider Music, ownsCopyrightOf, songs written by Bob Dylan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsCopyrightOf Context triple: [Special Rider Music, ownsCopyrightOf, songs written by Bob Dylan]
-
A.
hasCopyrightHolder
chosen
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
B.
copyrightHolderUniverse
Indicates that one entity is the legal copyright holder for works within a specified universe or fictional setting.
-
C.
ownsIntellectualProperty
Indicates that one entity holds legal ownership rights over the intellectual property created, produced, or associated with another entity.
-
D.
commercialRightsHolderOf
Indicates that one entity holds the legal commercial rights to exploit, license, or profit from another entity.
-
E.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d69ae081908a36e7c3559a0694 |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.