Triple
T20645664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Watcher (TV series) |
E507347
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Noma Dumezweni |
—
|
NE NERFINISHED |
How this triple was built (3 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: Noma Dumezweni | Statement: [The Watcher (TV series), stars, Noma Dumezweni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noma Dumezweni Context triple: [The Watcher (TV series), stars, Noma Dumezweni]
-
A.
Leleti Khumalo
Leleti Khumalo is a South African actress best known for her powerful role in the anti-apartheid film and stage musical "Sarafina!" and for her work in television dramas.
-
B.
Ashley Madekwe
Ashley Madekwe is a British actress best known for her roles in television series such as "Secret Diary of a Call Girl," "Revenge," and "Salem."
-
C.
Deborah Mailman
Deborah Mailman is an acclaimed Australian actress known for her groundbreaking roles in film and television and for being one of the most prominent Indigenous performers in the country.
-
D.
Dora Akunyili
Dora Akunyili was a renowned Nigerian pharmacist and public servant best known for her groundbreaking work as head of the National Agency for Food and Drug Administration and Control (NAFDAC), where she led major campaigns against counterfeit drugs.
-
E.
Gugulethu Sophia Mbatha
Gugulethu Sophia Mbatha, better known as Gugu Mbatha-Raw, is a British actress acclaimed for her work in film, television, and theatre, including roles in projects like "Belle," "Beyond the Lights," and "The Morning Show."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noma Dumezweni Target entity description: Noma Dumezweni is a British actress acclaimed for her stage and screen work, including her Olivier Award-winning role in "Harry Potter and the Cursed Child" and prominent performances in television and film.
-
A.
Leleti Khumalo
Leleti Khumalo is a South African actress best known for her powerful role in the anti-apartheid film and stage musical "Sarafina!" and for her work in television dramas.
-
B.
Ashley Madekwe
Ashley Madekwe is a British actress best known for her roles in television series such as "Secret Diary of a Call Girl," "Revenge," and "Salem."
-
C.
Deborah Mailman
Deborah Mailman is an acclaimed Australian actress known for her groundbreaking roles in film and television and for being one of the most prominent Indigenous performers in the country.
-
D.
Dora Akunyili
Dora Akunyili was a renowned Nigerian pharmacist and public servant best known for her groundbreaking work as head of the National Agency for Food and Drug Administration and Control (NAFDAC), where she led major campaigns against counterfeit drugs.
-
E.
Gugulethu Sophia Mbatha
Gugulethu Sophia Mbatha, better known as Gugu Mbatha-Raw, is a British actress acclaimed for her work in film, television, and theatre, including roles in projects like "Belle," "Beyond the Lights," and "The Morning Show."
- F. None of above. chosen
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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.