Triple
T32712871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KANU |
E836444
|
entity |
| Predicate | notableSecretaryGeneral |
P1881
|
FINISHED |
| Object | Uhuru Kenyatta |
E206292
|
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: Uhuru Kenyatta | Statement: [KANU, notableSecretaryGeneral, Uhuru Kenyatta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSecretaryGeneral Context triple: [KANU, notableSecretaryGeneral, Uhuru Kenyatta]
-
A.
firstSecretaryGeneral
Indicates that the subject is the first person to hold the position of secretary general of the specified organization or body.
-
B.
thirdSecretaryGeneral
Indicates that the subject served as the third person to hold the position of Secretary-General in a given organization or context.
-
C.
secondSecretaryGeneral
Indicates that one entity served as the second Secretary-General of the other entity (typically an organization or institution).
-
D.
specialRepresentativeOfSecretaryGeneral
Indicates that an individual serves as the Special Representative acting on behalf of the Secretary-General in a specific mandate or mission.
-
E.
secretaryGeneralTitle
chosen
Indicates that an entity holds the position or bears the official title of Secretary-General in relation to another entity (such as an organization or body).
- F. None of above.
Provenance (4 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34bce02b708190b7f6642b5a954792 |
completed | June 19, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:11 a.m.