Triple
T24601583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Repaid in Full: The Paid in Full Remixed |
E608838
|
entity |
| Predicate | containsRemixedVersionsOfTracksFrom |
P71139
|
FINISHED |
| Object | Paid in Full |
—
|
NE NERFINISHED |
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: Paid in Full | Statement: [Repaid in Full: The Paid in Full Remixed, containsRemixedVersionsOfTracksFrom, Paid in Full]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRemixedVersionsOfTracksFrom Context triple: [Repaid in Full: The Paid in Full Remixed, containsRemixedVersionsOfTracksFrom, Paid in Full]
-
A.
containsRemixes
chosen
Indicates that one entity includes or is associated with remix versions of another entity.
-
B.
hasRemixOrCovers
Indicates that one creative work is a remix or cover version of another work.
-
C.
hasRemixed
Indicates that one entity has created a new version or adaptation of another entity by remixing it.
-
D.
hasRemix
Indicates that one creative work is a remix version derived from or based on another work.
-
E.
hasRemixRelationshipWith
Indicates that one creative work is a remix, reworked version, or derived adaptation of another work.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.