Triple
T38375313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irresistible (2020 film) |
E893605
|
entity |
| Predicate | featuresSatireOf |
P98013
|
FINISHED |
| Object | Democratic Party campaign tactics |
—
|
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: Democratic Party campaign tactics | Statement: [Irresistible (2020 film), featuresSatireOf, Democratic Party campaign tactics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSatireOf Context triple: [Irresistible (2020 film), featuresSatireOf, Democratic Party campaign tactics]
-
A.
typeOfSatire
Indicates a relationship where one entity is a specific kind or category of satire that characterizes the other entity.
-
B.
satirizedBy
Indicates that the subject is the target or object of satire created or performed by the specified entity.
-
C.
targetAudienceOfSatire
Indicates that one entity is the intended audience or group at which a satirical work or expression is directed.
-
D.
politicalOrientationOfSatire
Indicates the political stance or ideology that a piece of satire is targeting, expressing, or associated with.
-
E.
hasNotableSatire
chosen
Indicates that one entity is recognized for containing or exemplifying a significant satirical treatment of the other 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.