Triple
T31173047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Swan |
E794664
|
entity |
| Predicate | literaryDeviceRelation |
P16928
|
FINISHED |
| Object | irony |
—
|
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: irony | Statement: [David Swan, literaryDeviceRelation, irony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryDeviceRelation Context triple: [David Swan, literaryDeviceRelation, irony]
-
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.
metafictionalRelation
Indicates a relationship in which a work, element, or narrative explicitly refers to, comments on, or otherwise draws attention to its own fictional status or construction.
-
C.
lyricalDevice
Indicates the use of a specific poetic or musical technique within lyrics to achieve a particular expressive or aesthetic effect.
-
D.
literaryFeature
chosen
Indicates a relationship where something possesses or exhibits a characteristic, device, or stylistic element used in literature.
-
E.
intertextualRelation
Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 29, 2026, 9:07 p.m.