Triple
T12669435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leleti Khumalo |
E302635
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Sarafina |
E62321
|
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: Sarafina | Statement: [Leleti Khumalo, notableRole, Sarafina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarafina Context triple: [Leleti Khumalo, notableRole, Sarafina]
-
A.
Sarafina!
chosen
Sarafina! is a 1992 South African musical drama film about a young girl’s coming-of-age during the Soweto uprising against apartheid.
-
B.
Malalai
Malalai is an Afghan activist and former politician internationally recognized for her outspoken criticism of warlords, the Taliban, and foreign occupation in Afghanistan.
-
C.
Maretha
Maretha is a young girl in the television film adaptation of August Wilson's "The Piano Lesson," representing the family's next generation and their hopes for a better future.
-
D.
Nolani
Nolani are the inhabitants or natives of the city of Nola in southern Italy.
-
E.
Makeda
"Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719fb8bc8190b581a7fcfb252404 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:20 p.m.