Triple
T33426154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The People’s Choice |
E855982
|
entity |
| Predicate | hasHumorousElement |
P45834
|
FINISHED |
| Object | voice-over commentary by the dog |
—
|
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: voice-over commentary by the dog | Statement: [The People’s Choice, hasHumorousElement, voice-over commentary by the dog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumorousElement Context triple: [The People’s Choice, hasHumorousElement, voice-over commentary by the dog]
-
A.
hasHumorFunction
Indicates that something serves a humorous role or purpose, such as eliciting amusement, laughter, or comedic effect.
-
B.
hasComedyElements
chosen
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
C.
hasHumorType
Indicates that an entity possesses or is characterized by a particular style, category, or type of humor.
-
D.
hasHumorousSubplotActor
Indicates that an actor participates in or is responsible for a humorous subplot within a larger work.
-
E.
isHumorousWork
Indicates that a work is intended to be humorous or comedic in nature.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.