Triple
T13560007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sailboats and Estuary |
E323880
|
entity |
| Predicate | chromaticApproach |
P86418
|
FINISHED |
| Object | optical color mixing |
—
|
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: optical color mixing | Statement: [Sailboats and Estuary, chromaticApproach, optical color mixing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chromaticApproach Context triple: [Sailboats and Estuary, chromaticApproach, optical color mixing]
-
A.
isChromatic
chosen
Indicates that something exhibits chromatic properties, such as involving or characterized by multiple colors or tones.
-
B.
tonalityProgression
Indicates a change or development in musical key or tonal center over the course of a piece or passage.
-
C.
tonalSystem
Indicates a relationship where a language or musical system is characterized by a specific set of tonal patterns or pitch distinctions that structure its sounds or expressions.
-
D.
diatonicScale
Indicates that a musical element (such as a note, chord, or melody) belongs to or is derived from a specific diatonic scale.
-
E.
usesChordChangesOf
Indicates that one musical work employs the same or substantially similar chord progression as another work.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.