Triple
T33987925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayna Jaymes |
E871460
|
entity |
| Predicate | fictionalAward |
P77902
|
FINISHED |
| Object | multiple Country Music Association Awards |
—
|
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: multiple Country Music Association Awards | Statement: [Rayna Jaymes, fictionalAward, multiple Country Music Association Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalAward Context triple: [Rayna Jaymes, fictionalAward, multiple Country Music Association Awards]
-
A.
awardWithinFiction
chosen
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
-
B.
novelAward
Indicates that an entity has received an award specifically for a novel.
-
C.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
-
D.
awardFestival
Indicates that an entity receives or is granted an award in the context of a festival or festival-related event.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: May 1, 2026, 1:50 a.m.