Triple
T20524230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep in My Heart |
E503891
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Barbara Mamabolo |
—
|
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: Barbara Mamabolo | Statement: [Deep in My Heart, hasCastMember, Barbara Mamabolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Mamabolo Context triple: [Deep in My Heart, hasCastMember, Barbara Mamabolo]
-
A.
Barbara Mamabolo
chosen
Barbara Mamabolo is a Canadian actress and singer known for her work in film, television, and voice acting.
-
B.
Joyce Mhlaba
Joyce Mhlaba was the wife of South African anti-apartheid activist and politician Raymond Mhlaba, and was herself involved in the broader struggle against apartheid.
-
C.
Thoko Ntshinga
Thoko Ntshinga is a South African actress and theatre practitioner known for her work in anti-apartheid cinema and television.
-
D.
Mary Masombuka
Mary Masombuka is a central student activist character in the South African musical film and stage play "Sarafina!", symbolizing youth resistance against apartheid.
-
E.
Motsi Mabuse
Motsi Mabuse is a South African-born professional dancer and choreographer best known as a television dance judge in the UK and Germany.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:37 a.m.