Triple
T2058715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Checkers speech |
E45736
|
entity |
| Predicate | rhetoricalStyle |
P35511
|
FINISHED |
| Object | emotional appeal |
—
|
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: emotional appeal | Statement: [Checkers speech, rhetoricalStyle, emotional appeal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhetoricalStyle Context triple: [Checkers speech, rhetoricalStyle, emotional appeal]
-
A.
rhetoricalDevice
Indicates that one entity is used as a rhetorical device in relation to another, such as a figure of speech, stylistic technique, or persuasive strategy within a discourse.
-
B.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
C.
narrativeStyle
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
D.
usesNarrativeStyle
Indicates that one entity employs or adopts a particular narrative style in presenting or structuring content or information.
-
E.
performanceStyle
Indicates the manner or style in which an action, work, or performance is carried out or presented.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb92f90a881909a1f10b060132a9e |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:40 p.m.