Triple
T7755164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An ounce of prevention is worth a pound of cure |
E175874
|
entity |
| Predicate | hasRhetoricalFunction |
P834
|
FINISHED |
| Object | persuasion |
—
|
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: persuasion | Statement: [An ounce of prevention is worth a pound of cure, hasRhetoricalFunction, persuasion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRhetoricalFunction Context triple: [An ounce of prevention is worth a pound of cure, hasRhetoricalFunction, persuasion]
-
A.
hasFictionalFunction
Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
-
B.
containsRhetoricalQuestions
Indicates that the text includes questions posed for effect or persuasion rather than to elicit actual answers.
-
C.
rhetoricalDevice
chosen
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.
-
D.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
E.
textualFunction
Indicates a functional or structural role that a text segment serves within a larger document or discourse (e.g., title, caption, summary, instruction).
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.