Triple
T14675629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Crush |
E344632
|
entity |
| Predicate | mixingStyle |
P115289
|
FINISHED |
| Object | loud and punchy |
—
|
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: loud and punchy | Statement: [Cold Crush, mixingStyle, loud and punchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixingStyle Context triple: [Cold Crush, mixingStyle, loud and punchy]
-
A.
mixingMethod
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
-
B.
mixesWith
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
C.
mixesElementsOf
Indicates a relationship where one entity combines or blends components, features, or aspects of another entity or set of entities into a unified whole.
-
D.
typicalBlendStyle
Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
-
E.
commercialMix
Indicates a relationship where different commercial elements, such as products, services, or marketing components, are combined or integrated into a single offering or context.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5666e648190b5faa07076f497b8 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.