Triple
T12460039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tequila Sunrise |
E297762
|
entity |
| Predicate | mixingTechnique |
P104032
|
FINISHED |
| Object | layering |
—
|
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: layering | Statement: [Tequila Sunrise, mixingTechnique, layering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixingTechnique Context triple: [Tequila Sunrise, mixingTechnique, layering]
-
A.
mixingMethod
chosen
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
-
B.
mixingEngineer
Indicates that one entity is the audio professional responsible for combining and balancing the recorded elements of another entity (such as a song, track, or project).
-
C.
mixesWith
Indicates that one entity is combined or blended together with another entity to form a mixture.
-
D.
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.
-
E.
specialEffectsTechnique
Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.