Triple
T21630106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce Banda |
E533807
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joyce Banda |
—
|
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: Joyce Banda | Statement: [Joyce Banda, name, Joyce Banda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joyce Banda Context triple: [Joyce Banda, name, Joyce Banda]
-
A.
Joyce Banda
chosen
Joyce Banda is a Malawian politician who served as the country’s first female president from 2012 to 2014 and is known for her advocacy on women’s rights and good governance.
-
B.
Linda Banda
Linda Banda is an alternative name for the Banda-Linda language, a Central Sudanic language spoken in parts of Central Africa.
-
C.
Lily Banda
Lily Banda is a Malawian actress and artist best known for her role in the film "The Boy Who Harnessed the Wind."
-
D.
Esther Lungu
Esther Lungu is a Zambian public figure and former First Lady known for her charitable and social advocacy work during her husband Edgar Lungu’s presidency.
-
E.
Maureen Mwanawasa
Maureen Mwanawasa is a Zambian lawyer and former First Lady of Zambia known for her advocacy on health, women's rights, and social welfare issues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5215ae3c81909e6dedba23822970 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.