Triple
T695863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huckleberry Finn |
E13891
|
entity |
| Predicate | speechStyle |
P5869
|
FINISHED |
| Object | vernacular American 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: vernacular American English | Statement: [Huckleberry Finn, speechStyle, vernacular American English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speechStyle Context triple: [Huckleberry Finn, speechStyle, vernacular American English]
-
A.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
-
B.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
C.
narrativeStyle
chosen
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
D.
spreadingStyle
Indicates how an entity extends, disperses, or propagates from its source across a medium, area, or set of targets.
-
E.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c5f51c8190acc4915099e4b384 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.