Triple
T16611685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Vince Carter |
E403584
|
entity |
| Predicate | dynamicWithGomerPyle |
P121403
|
FINISHED |
| Object | exasperated but protective superior |
—
|
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: exasperated but protective superior | Statement: [Sergeant Vince Carter, dynamicWithGomerPyle, exasperated but protective superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynamicWithGomerPyle Context triple: [Sergeant Vince Carter, dynamicWithGomerPyle, exasperated but protective superior]
-
A.
comedicDynamicWith
chosen
Indicates a relationship in which two or more entities interact in a way that creates or supports comedic effect, timing, or contrast.
-
B.
isHumorousCharacter
Indicates that the character is portrayed in a humorous way or primarily serves a comedic role in the context.
-
C.
notableGag
Indicates that something features a particularly memorable or significant joke, comedic moment, or running gag.
-
D.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
-
E.
typicalInteractionWithFredFlintstone
Indicates the usual or characteristic way in which an entity interacts or engages with Fred Flintstone.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.