Triple
T28921087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Paul O’Grady Show |
E733512
|
entity |
| Predicate | hasPrimaryPresenterOccupation |
P50979
|
FINISHED |
| Object | comedian |
—
|
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: comedian | Statement: [The Paul O’Grady Show, hasPrimaryPresenterOccupation, comedian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryPresenterOccupation Context triple: [The Paul O’Grady Show, hasPrimaryPresenterOccupation, comedian]
-
A.
presenterOccupation
Indicates that an entity serves in a specific professional role or job as a presenter.
-
B.
hasMainPerformerOccupation
chosen
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
C.
hasPrimaryDirector
Indicates that an entity has a specific person or organization serving as its main or lead director.
-
D.
holderIsOccupation
Indicates that the holder entity has the specified occupation or job role.
-
E.
primarySpeakersOccupation
Indicates the main or most common occupation held by the speakers of a given language.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: April 28, 2026, 8:19 a.m.