Triple
T29226631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proxy |
E740950
|
entity |
| Predicate | hasRemixCulture |
P201049
|
FINISHED |
| Object | popular in DJ sets and bootlegs |
—
|
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: popular in DJ sets and bootlegs | Statement: [Proxy, hasRemixCulture, popular in DJ sets and bootlegs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemixCulture Context triple: [Proxy, hasRemixCulture, popular in DJ sets and bootlegs]
-
A.
hasRemix
Indicates that one creative work is a remix version derived from or based on another work.
-
B.
hasRemixGenre
Indicates that a work or track has a remix version characterized by a particular musical genre.
-
C.
hasRemixed
Indicates that one entity has created a new version or adaptation of another entity by remixing it.
-
D.
hasRemixNature
Indicates that one creative work is a remix, reworking, or derivative version of another original work.
-
E.
isRemix
Indicates that one creative work is a reinterpreted, altered, or recombined version of another original work.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
| PDg | Predicate description generation | batch_69ffc515e4b08190810b2a29b2885162 |
completed | May 9, 2026, 11:36 p.m. |
Created at: April 28, 2026, 12:17 p.m.