Triple
T31670334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysias |
E808252
|
entity |
| Predicate | rhetoricalFeature |
P35511
|
FINISHED |
| Object | use of plain, unadorned diction |
—
|
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 plain, unadorned diction | Statement: [Lysias, rhetoricalFeature, use of plain, unadorned diction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhetoricalFeature Context triple: [Lysias, rhetoricalFeature, use of plain, unadorned diction]
-
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.
literaryFeature
Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
-
C.
rhetoricalStyle
chosen
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
D.
rhetoricalAim
Indicates the intended persuasive or communicative effect that an utterance or text is designed to achieve in its audience.
-
E.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:01 p.m.