Triple
T10964288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Country Music Award for Entertainer of the Year |
E259054
|
entity |
| Predicate | evaluationAspect |
P96882
|
FINISHED |
| Object | touring success |
—
|
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: touring success | Statement: [Academy of Country Music Award for Entertainer of the Year, evaluationAspect, touring success]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationAspect Context triple: [Academy of Country Music Award for Entertainer of the Year, evaluationAspect, touring success]
-
A.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
B.
critiquesAspect
Indicates that one entity evaluates and expresses critical judgment about a particular aspect or component of another entity.
-
C.
evaluationRole
Indicates the role or capacity in which an entity participates in an evaluation or assessment process.
-
D.
evaluationUse
Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
-
E.
assessment
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
- 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_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
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.