Triple
T14805267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyasha Newton |
E348016
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nyasha Newton |
E348016
|
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: Nyasha Newton | Statement: [Nyasha Newton, name, Nyasha Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyasha Newton Context triple: [Nyasha Newton, name, Nyasha Newton]
-
A.
Nyasha Newton
chosen
Nyasha Newton is the daughter of British-Zimbabwean actress Thandiwe Newton.
-
B.
Nathanya Alexander
Nathanya Alexander is an American actress best known for her role in the film "Ocean's 8" and for her work in television and independent projects.
-
C.
Naturi Naughton
Naturi Naughton is an American singer and actress best known as a former member of the R&B group 3LW and for her roles in projects like the TV series "Power" and the film "Notorious."
-
D.
Marley Taylor
Marley Taylor is an actress known for appearing in the holiday comedy film "Almost Christmas."
-
E.
Alisha Newton
Alisha Newton is a Canadian actress best known for playing Georgie Fleming Morris on the long-running family drama series "Heartland."
- 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_69fe8bc7aba08190b2e125b174751a53 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:34 a.m.