Triple
T8576609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwai Kibaki |
E203062
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kibaki |
E203062
|
NE 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: Kibaki | Statement: [Mwai Kibaki, familyName, Kibaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kibaki Context triple: [Mwai Kibaki, familyName, Kibaki]
-
A.
Mwai Kibaki
chosen
Mwai Kibaki was a Kenyan economist and politician who served as the third President of Kenya from 2002 to 2013.
-
B.
Uhuru Kenyatta
Uhuru Kenyatta is a Kenyan politician who served as the fourth President of Kenya from 2013 to 2022.
-
C.
William Ruto
William Ruto is a Kenyan politician who serves as the country’s president and has long been a prominent figure in its national politics.
-
D.
Francis Muthaura
Francis Muthaura is a Kenyan diplomat and civil servant who became a prominent regional figure through his leadership roles in East African and national government institutions.
-
E.
Daniel arap Moi
Daniel arap Moi was the second president of Kenya, serving from 1978 to 2002 and becoming one of the country's longest-serving and most influential political leaders.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea97787481909ebbaa45f59cbdaa |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea89550f481908a7ed45303b71731 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:21 p.m.