Triple
T21405743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ol' Red |
E528027
|
entity |
| Predicate | madePopularInGenre |
P2352
|
FINISHED |
| Object | country music |
—
|
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: country music | Statement: [Ol' Red, madePopularInGenre, country music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madePopularInGenre Context triple: [Ol' Red, madePopularInGenre, country music]
-
A.
cultPopularFrom
Indicates that something has gained or exhibits cult popularity originating from a particular source, context, or group.
-
B.
becameCentralGenreIn
Indicates that one genre developed into or was recognized as the primary or dominant genre within a particular context, period, or domain.
-
C.
popularityType
Indicates the specific category or nature of how popularity is characterized or measured in the relationship.
-
D.
popularizedIn
chosen
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
-
E.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62d01634819089dd64fe7bc5ccbd |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:31 p.m.