Triple
T20267919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Left and Right |
E499014
|
entity |
| Predicate | mixingFocus |
P139473
|
FINISHED |
| Object | stereo imaging |
—
|
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: stereo imaging | Statement: [Left and Right, mixingFocus, stereo imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixingFocus Context triple: [Left and Right, mixingFocus, stereo imaging]
-
A.
mixingStyle
Indicates how two or more elements are combined or blended together in a particular manner or technique.
-
B.
mixingMethod
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
-
C.
mixesElement
Indicates that one entity combines or blends another entity or element into a mixture or composite.
-
D.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
E.
mixType
Indicates that one entity is combined or blended with another in a particular manner or category of mixing.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:42 p.m.