Triple
T28904754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minipax |
E733041
|
entity |
| Predicate | nameIrony |
P71901
|
FINISHED |
| Object | despite its name, it deals with war |
—
|
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: despite its name, it deals with war | Statement: [Minipax, nameIrony, despite its name, it deals with war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameIrony Context triple: [Minipax, nameIrony, despite its name, it deals with war]
-
A.
dramaticIrony
Indicates a situation where the audience or reader knows critical information that one or more characters do not, creating a contrast between character perception and reality.
-
B.
hasIronicMeaning
chosen
Indicates that something conveys a meaning opposite to or incongruent with its literal expression, creating an ironic effect.
-
C.
nameLiterallyMeans
Indicates that the literal meaning or direct translation of one entity’s name is given by the other entity.
-
D.
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.
-
E.
nameAllusion
Indicates that one entity’s name is derived from, references, or alludes to another entity.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ada0060819098ff14053a958b64 |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:06 a.m.