Triple
T12636665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makaziwe Mandela |
E301782
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Makaziwe |
E301782
|
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: Makaziwe | Statement: [Makaziwe Mandela, givenName, Makaziwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makaziwe Context triple: [Makaziwe Mandela, givenName, Makaziwe]
-
A.
Makaziwe
chosen
Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
-
B.
Mhlakaza
Mhlakaza was a Xhosa prophet and spiritual adviser who played a central role in inspiring the 1856–57 Xhosa cattle-killing movement in South Africa.
-
C.
Mzilikazi
Mzilikazi was a 19th-century Southern African king who founded the Ndebele (Matabele) nation and led its migration to what is now Zimbabwe.
-
D.
Mazvihwa
Mazvihwa is a rural area in central Zimbabwe known for its communal lands and traditional Shona communities.
-
E.
Mbekweni
Mbekweni is a predominantly residential township in the Western Cape province of South Africa, situated near Paarl within the Drakenstein municipal area.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719886708190823f6f7e94e4d199 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:16 p.m.