Triple
T29681061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WHO Goodwill Ambassador for Tuberculosis and HIV/AIDS |
E750951
|
entity |
| Predicate | typicalAppointee |
—
|
GENERATED |
| Object | public figure |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAppointee Context triple: [WHO Goodwill Ambassador for Tuberculosis and HIV/AIDS, typicalAppointee, public figure]
-
A.
typicalAppointment
Indicates that an appointment represents a standard, usual, or commonly occurring scheduling arrangement between entities.
-
B.
typicalAppointmentContext
Indicates the usual situational setting or circumstances in which an appointment typically occurs.
-
C.
appointerType
Indicates the role or category of entity that has the authority to appoint another entity.
-
D.
typicalCaller
Indicates that one entity is the usual or most common initiator of calls or invocations to another entity.
-
E.
personType
chosen
Indicates that an entity is classified as a particular type or category of person.
- F. None of above.
Provenance (1 batch)
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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 28, 2026, 7:10 p.m.