Triple
T26446460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya African National Union |
E665226
|
entity |
| Predicate | thirdPresidentFromParty |
P6134
|
FINISHED |
| Object | Uhuru Kenyatta |
—
|
NE NERFINISHED |
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: Uhuru Kenyatta | Statement: [Kenya African National Union, thirdPresidentFromParty, Uhuru Kenyatta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPresidentFromParty Context triple: [Kenya African National Union, thirdPresidentFromParty, Uhuru Kenyatta]
-
A.
thirdPresidentSupported
Indicates that the third president provided support—such as endorsement, assistance, or approval—to the referenced entity or action.
-
B.
thirdPresident
chosen
Indicates that the subject holds the position of being the third president in a specified ordered sequence of presidents.
-
C.
notablePresidentFromParty
Indicates that the subject is a president who is notably associated with, and belongs to, the specified political party.
-
D.
secondPresident
Indicates that the subject is the second person to hold the office of president of the specified entity or organization.
-
E.
runningMateOfBenjaminHarrison
Indicates that the subject was the vice-presidential running mate of Benjamin Harrison in a political election.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 12:02 a.m.