Triple
T12321253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayo |
E293732
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Uhuru |
E972965
|
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 | Statement: [Ayo, producer, Uhuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uhuru Context triple: [Ayo, producer, Uhuru]
-
A.
Uhuru
Uhuru is a Kenyan politician who served as the fourth President of Kenya from 2013 to 2022.
-
B.
Uhuru
chosen
Uhuru is a South African musical duo known for their influential work in house and kwaito music, particularly through hit collaborations across the African continent.
-
C.
UHURU
UHURU was the first Earth-orbiting X-ray astronomy satellite, launched in 1970 to systematically survey the sky for cosmic X-ray sources.
-
D.
Kinigi
Kinigi is a village in northern Rwanda that serves as the primary gateway and base for visitors exploring Volcanoes National Park and its mountain gorillas.
-
E.
Matsigenka
The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8aa94881908e4c184062037ab5 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.