Triple
T9983765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streets of Fire |
E196514
|
entity |
| Predicate | aestheticBlend |
P2077
|
FINISHED |
| Object | 1950s Americana and 1980s rock |
—
|
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: 1950s Americana and 1980s rock | Statement: [Streets of Fire, aestheticBlend, 1950s Americana and 1980s rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aestheticBlend Context triple: [Streets of Fire, aestheticBlend, 1950s Americana and 1980s rock]
-
A.
typicalBlendStyle
chosen
Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
-
B.
stylingTool
Indicates a tool or instrument used to style, shape, or arrange something (typically hair, clothing, or design elements).
-
C.
compositing
Indicates combining multiple visual elements or layers into a single cohesive image or scene.
-
D.
COLABasis
Indicates a basis or foundational relationship that supports or underlies a collaboration between entities.
-
E.
albedoContrast
Indicates the degree to which two surfaces or regions differ in their reflectivity (albedo), typically highlighting contrast in brightness.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.