Triple
T6349155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nick Cannon Show |
E142823
|
entity |
| Predicate | featuresComedyStyle |
P45834
|
FINISHED |
| Object | slapstick |
—
|
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: slapstick | Statement: [The Nick Cannon Show, featuresComedyStyle, slapstick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresComedyStyle Context triple: [The Nick Cannon Show, featuresComedyStyle, slapstick]
-
A.
hasComedyElements
chosen
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
B.
featuresFictionalProgram
Indicates that a work includes or presents a fictional program (such as a TV show, software, or in-universe broadcast) as part of its content.
-
C.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
D.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
E.
featuresCastType
Indicates that one entity includes or highlights a particular type or category of cast (e.g., actors or performers) associated with it.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bba1988190b51f0a22e4279e1b |
completed | March 22, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.