Triple
T23538375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Harada |
E577668
|
entity |
| Predicate | notableGenreOfPerformance |
P21380
|
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: [Ann Harada, notableGenreOfPerformance, sketch comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenreOfPerformance Context triple: [Ann Harada, notableGenreOfPerformance, sketch comedy]
-
A.
notableRecordingType
Indicates that the subject is notably associated with recordings of a particular type or format.
-
B.
notablePerformanceMedium
Indicates the medium (such as film, stage, or television) in which an entity delivered a notable or distinguished performance.
-
C.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
D.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
E.
genreSpecialty
chosen
Indicates that an entity specializes in or is particularly associated with a specific genre.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae19473881909aa65f9d36744502 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.