Triple
T14805259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thandiwe |
E348015
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Thandie |
E348015
|
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: Thandie | Statement: [Thandiwe, hasVariant, Thandie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thandie Context triple: [Thandiwe, hasVariant, Thandie]
-
A.
Thandiwe
chosen
Thandiwe is a feminine given name of African origin, notably borne by British-Zimbabwean actress Thandiwe Newton.
-
B.
Zandile
Zandile is a given name notably borne by Amala Ratna Zandile Dlamini, the South African–American rapper and singer known professionally as Doja Cat.
-
C.
Nomzamo Mbatha
Nomzamo Mbatha is a South African actress, television personality, and human rights activist known for her breakout roles in film and television and her work with the United Nations High Commissioner for Refugees.
-
D.
Sifa Mahanya
Sifa Mahanya was the wife of former Congolese president Laurent-Désiré Kabila and a prominent figure in the Democratic Republic of the Congo’s political sphere.
-
E.
Thoko Ntshinga
Thoko Ntshinga is a South African actress and theatre practitioner known for her work in anti-apartheid cinema and television.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3893c760819094ce1d63478a39ce |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:34 a.m.