Triple
T20870361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Fuzz |
E513871
|
entity |
| Predicate | hasCrimeFightingTheme |
P81289
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Super Fuzz, hasCrimeFightingTheme, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrimeFightingTheme Context triple: [Super Fuzz, hasCrimeFightingTheme, yes]
-
A.
hasPoliceTheme
chosen
Indicates that something features police, law enforcement, or policing activities as a central theme or focus.
-
B.
hasAntiDrugTheme
Indicates that something incorporates or promotes an anti-drug message or stance as a central theme.
-
C.
comicTheme
Indicates that something (such as a work, scene, or element) centers around or is characterized by a humorous or comic theme.
-
D.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
-
E.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.