Triple
T25955225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jet Sosyete |
E654074
|
entity |
| Predicate | hasSatiricalFocus |
P98013
|
FINISHED |
| Object | social media |
—
|
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: social media | Statement: [Jet Sosyete, hasSatiricalFocus, social media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSatiricalFocus Context triple: [Jet Sosyete, hasSatiricalFocus, social media]
-
A.
hasSatiricalTone
Indicates that something expresses its content in a mocking, ironic, or humorous way to criticize or ridicule its subject.
-
B.
hasNotableSatire
chosen
Indicates that one entity is recognized for containing or exemplifying a significant satirical treatment of the other entity.
-
C.
satirizedBy
Indicates that the subject is the target or object of satire created or performed by the specified entity.
-
D.
isSatiricalCycleComponent
Indicates that something functions as a constituent part of a larger satirical cycle or series.
-
E.
hasHumorousTreatmentOf
Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 22, 2026, 8:44 a.m.