Triple
T30604971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazz (The Fresh Prince of Bel-Air) |
E779014
|
entity |
| Predicate | runningGagInvolving |
P52455
|
FINISHED |
| Object | being physically thrown out of the Banks’ house |
—
|
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: being physically thrown out of the Banks’ house | Statement: [Jazz (The Fresh Prince of Bel-Air), runningGagInvolving, being physically thrown out of the Banks’ house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runningGagInvolving Context triple: [Jazz (The Fresh Prince of Bel-Air), runningGagInvolving, being physically thrown out of the Banks’ house]
-
A.
reasonForRunningGag
Indicates the underlying cause or explanation for why a particular running gag recurs.
-
B.
notableGag
chosen
Indicates that something features a particularly memorable or significant joke, comedic moment, or running gag.
-
C.
hasHumorousSubplotActor
Indicates that an actor participates in or is responsible for a humorous subplot within a larger work.
-
D.
comedicDynamicWith
Indicates a relationship in which two or more entities interact in a way that creates or supports comedic effect, timing, or contrast.
-
E.
humorSource
Indicates that one entity is the origin or cause of humor experienced in relation 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689b5450c8190bb5152b6e3dd6536 |
completed | May 2, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:25 p.m.