Triple
T10288457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Karua |
E241297
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Kenyan lawyer |
C24999
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Kenyan lawyer Context triple: [Martha Karua, instanceOf, Kenyan lawyer]
-
A.
Kenyan politician
chosen
A Kenyan politician is a public figure engaged in the governance and political processes of Kenya, typically holding or seeking elective or appointive office to influence public policy and represent citizens' interests.
-
B.
Scottish lawyer
A Scottish lawyer is a legal professional qualified in Scotland’s distinct legal system, advising and representing clients in civil or criminal matters before Scottish courts and tribunals.
-
C.
Irish barrister
An Irish barrister is a legal professional in Ireland who specializes in courtroom advocacy, legal opinion, and the drafting of complex legal documents, typically instructed by solicitors to represent clients before the higher courts.
-
D.
Uzbekistani human rights activist
An Uzbekistani human rights activist is an individual from Uzbekistan who advocates for the protection and promotion of civil, political, social, and cultural rights, often challenging government abuses and working to advance legal and social reforms.
-
E.
Rwandan politician
A Rwandan politician is a public figure from Rwanda who engages in governance, policy-making, and political leadership at local, regional, or national levels within the country’s political system.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:41 a.m.