Triple
T545329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Their Eyes Were Watching God |
E12718
|
entity |
| Predicate | hasDialogueStyle |
P1609
|
FINISHED |
| Object | use of African-American Vernacular English |
—
|
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: use of African-American Vernacular English | Statement: [Their Eyes Were Watching God, hasDialogueStyle, use of African-American Vernacular English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDialogueStyle Context triple: [Their Eyes Were Watching God, hasDialogueStyle, use of African-American Vernacular English]
-
A.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
B.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
C.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
D.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
E.
isTalkingPicture
Indicates that the subject is a motion picture that includes synchronized recorded sound, especially spoken dialogue.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dfec5c81908b76d723b30dc2f0 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.