Triple
T29635893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Democratic Movement |
E755712
|
entity |
| Predicate | fieldedPresidentialCandidate |
P104746
|
FINISHED |
| Object | Raila Odinga |
—
|
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: Raila Odinga | Statement: [Orange Democratic Movement, fieldedPresidentialCandidate, Raila Odinga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldedPresidentialCandidate Context triple: [Orange Democratic Movement, fieldedPresidentialCandidate, Raila Odinga]
-
A.
fieldedPresidentialCandidateIn
chosen
Indicates that a political party officially nominated and ran a specific person as its candidate in a particular presidential election.
-
B.
partyPresidentialNomineeOf
Indicates that a person is the officially selected presidential nominee representing a particular political party.
-
C.
backedPresidentialCandidate
Indicates that an entity supported or endorsed a particular individual as their choice for president.
-
D.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
E.
notablePresidentialCandidate
Indicates that a person has been a prominent or widely recognized candidate in a presidential 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 28, 2026, 6:44 p.m.