Triple
T21230083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Christian O'Connell Show (Gold 104.3) |
E523186
|
entity |
| Predicate | primaryHostProfession |
P93070
|
FINISHED |
| Object | radio broadcaster |
—
|
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: radio broadcaster | Statement: [The Christian O'Connell Show (Gold 104.3), primaryHostProfession, radio broadcaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHostProfession Context triple: [The Christian O'Connell Show (Gold 104.3), primaryHostProfession, radio broadcaster]
-
A.
memberProfession
Indicates that a member or individual holds or practices a particular profession or occupation.
-
B.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
C.
professionalName
Indicates the formal name or title an entity uses in a professional or occupational context.
-
D.
mainOccupationFrom
chosen
Indicates that the specified occupation is the primary or main job held by the given entity.
-
E.
leftProfession
Indicates that an entity has stopped or abandoned a particular profession or occupation they previously held.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734af3d508190b3359d14496370b6 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:45 p.m.