Triple
T25774313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Dey cheer |
E649102
|
entity |
| Predicate | featuresDialect |
P180479
|
FINISHED |
| Object | African American Vernacular English |
—
|
NE NERFINISHED |
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: African American Vernacular English | Statement: [Who Dey cheer, featuresDialect, African American Vernacular English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDialect Context triple: [Who Dey cheer, featuresDialect, African American Vernacular English]
-
A.
dialectDocumentation
Indicates that there exists documentation or descriptive information specifically about a particular dialect or dialectal variety.
-
B.
notableDialect
Indicates that an entity is recognized for having a distinct or noteworthy dialect associated with it.
-
C.
hasDialectalFeaturesSharedWith
Indicates that two language varieties share specific dialectal features or characteristics in common.
-
D.
focusesOnDialect
Indicates that the subject’s attention, work, or activity is specifically directed toward a particular dialect or set of dialects.
-
E.
regionalDialect
Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: April 22, 2026, 5:33 a.m.