Triple
T3250189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janie Crawford |
E68157
|
entity |
| Predicate | languageStyleContext |
P35511
|
FINISHED |
| Object | depicted through African American Vernacular English dialogue |
—
|
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: depicted through African American Vernacular English dialogue | Statement: [Janie Crawford, languageStyleContext, depicted through African American Vernacular English dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageStyleContext Context triple: [Janie Crawford, languageStyleContext, depicted through African American Vernacular English dialogue]
-
A.
languageFamilyContext
Indicates the broader linguistic family or grouping within which a particular language or linguistic element is situated.
-
B.
rhetoricalStyle
chosen
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
C.
editingStyle
Indicates the characteristic manner or approach used when revising, arranging, or refining content.
-
D.
languageStandardizationRole
Indicates the role an entity plays in establishing, maintaining, or influencing the standardization of a language.
-
E.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.