Triple
T32762268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda... Live in L.A. |
E837788
|
entity |
| Predicate | showcasesRegionalStyle |
P142194
|
FINISHED |
| Object | West Coast style |
—
|
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: West Coast style | Statement: [Yolanda... Live in L.A., showcasesRegionalStyle, West Coast style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showcasesRegionalStyle Context triple: [Yolanda... Live in L.A., showcasesRegionalStyle, West Coast style]
-
A.
showcasesRegion
chosen
Indicates that something presents, highlights, or features a particular geographic region.
-
B.
regionalCharacteristic
Indicates that a particular feature, quality, or attribute is typical of, or distinctive to, a specific geographic region.
-
C.
nationalStyle
Indicates that something is characterized by or associated with the distinctive style of a particular nation.
-
D.
usesRegionalStyle
Indicates that one entity employs or applies a style, method, or convention characteristic of a particular geographic region in relation to another entity or context.
-
E.
showcasesEarlyStyleOf
Indicates that one entity exemplifies or displays the characteristic early style or formative phase of another entity.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.