Triple
T5366873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngũgĩ wa Thiong’o |
E103150
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Mũkoma wa Ngũgĩ |
E516080
|
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: Mũkoma wa Ngũgĩ | Statement: [Ngũgĩ wa Thiong’o, influenced, Mũkoma wa Ngũgĩ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mũkoma wa Ngũgĩ Context triple: [Ngũgĩ wa Thiong’o, influenced, Mũkoma wa Ngũgĩ]
-
A.
Mũkoma wa Ngũgĩ
chosen
Mũkoma wa Ngũgĩ is a Kenyan-American poet, novelist, and literary scholar known for his works exploring postcolonial identity, politics, and African diasporic experiences.
-
B.
Njeeri wa Ngũgĩ
Njeeri wa Ngũgĩ is a Kenyan academic and activist best known as the wife and longtime collaborator of renowned writer Ngũgĩ wa Thiong’o.
-
C.
Nakate
Nakate is a Ugandan surname most prominently associated with climate activist Vanessa Nakate.
-
D.
Husuni Ndogo
Husuni Ndogo is a small medieval coastal fortification on Kilwa Kisiwani in Tanzania, associated with the historic Swahili trading civilization.
-
E.
Umkhosi Wokweshwama
Umkhosi Wokweshwama is a traditional Zulu first-fruits harvest festival that reaffirms the king’s authority, ancestral veneration, and communal renewal.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8684103081908ed79625b59e4b24 |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf334553148190a5c53bda473c17c3 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:02 p.m.