Triple
T9727214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack McBrayer |
E235643
|
entity |
| Predicate | hasGenreOfPerformance |
P30308
|
FINISHED |
| Object | sketch 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: sketch comedy | Statement: [Jack McBrayer, hasGenreOfPerformance, sketch comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfPerformance Context triple: [Jack McBrayer, hasGenreOfPerformance, sketch comedy]
-
A.
typeOfPerformances
Indicates the kinds or categories of performances associated with or offered by an entity.
-
B.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
C.
hasStageGenre
Indicates a relationship where a stage production or performance is associated with a particular theatrical or performance genre.
-
D.
hasGenreArtist
chosen
Indicates that an artist is associated with or specializes in a particular genre.
-
E.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:21 p.m.