Triple
T10955528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMT Music Award |
E258835
|
entity |
| Predicate | hasCountryMusicFocus |
P96815
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [CMT Music Award, hasCountryMusicFocus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryMusicFocus Context triple: [CMT Music Award, hasCountryMusicFocus, true]
-
A.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
B.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
C.
hasEthnomusicologicalFocus
Indicates that something is centered on or primarily concerned with the study of music in its cultural, social, and anthropological contexts.
-
D.
firstPerformanceCountry
Indicates the country in which something (such as a work, show, or performance) was first performed.
-
E.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7710088e8819099e3272e26566c44 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.