Triple
T6514915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benzino Napaloni |
E148230
|
entity |
| Predicate | politicalIdeologyParodied |
P10352
|
FINISHED |
| Object | fascism |
—
|
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: fascism | Statement: [Benzino Napaloni, politicalIdeologyParodied, fascism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalIdeologyParodied Context triple: [Benzino Napaloni, politicalIdeologyParodied, fascism]
-
A.
parodies
chosen
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
B.
ideologicalCharacter
Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
-
C.
ideologicalTheme
Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
-
D.
ideologicallyFramedAs
Indicates that one entity is portrayed or interpreted in terms of a particular ideology or ideological perspective in relation to another entity.
-
E.
politicalAllegoryFor
Indicates that one entity symbolically represents or critiques another entity, event, or system within a political context.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0bea808190aebc2905fb53eeba |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.