Triple
T32632189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Tarlek |
E834245
|
entity |
| Predicate | comedicType |
P88847
|
FINISHED |
| Object | broad physical comedy |
—
|
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: broad physical comedy | Statement: [Herb Tarlek, comedicType, broad physical comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comedicType Context triple: [Herb Tarlek, comedicType, broad physical comedy]
-
A.
genreOfComedy
chosen
Indicates that something belongs to or is categorized within the comedy genre.
-
B.
comedicDynamicWith
Indicates a relationship in which two or more entities interact in a way that creates or supports comedic effect, timing, or contrast.
-
C.
isSilentComedy
Indicates that the work is a comedy in which humor is conveyed without spoken dialogue, relying primarily on visual action and physical expression.
-
D.
comedian
Indicates that the subject performs comedy or is recognized for engaging in comedic entertainment.
-
E.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.