Triple
T14567037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAFTA Rising Star Award |
E341809
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Letitia Wright |
E219084
|
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: Letitia Wright | Statement: [BAFTA Rising Star Award, notableRecipient, Letitia Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letitia Wright Context triple: [BAFTA Rising Star Award, notableRecipient, Letitia Wright]
-
A.
Letitia Wright
chosen
Letitia Wright is a Guyanese-British actress best known for her role as the brilliant inventor Shuri in Marvel's Black Panther films.
-
B.
Hannah John-Kamen
Hannah John-Kamen is a British actress known for roles in science fiction and fantasy projects, including her portrayal of Ghost in the Marvel film "Ant-Man and the Wasp."
-
C.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
D.
Trevante Rhodes
Trevante Rhodes is an American actor best known for his breakout, critically acclaimed performance as the adult Chiron in the Oscar-winning film "Moonlight."
-
E.
Karen Gillan
Karen Gillan is a Scottish actress and filmmaker best known for her roles as Nebula in the Marvel Cinematic Universe and Amy Pond in the television series Doctor Who.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac669cc819083e05620b1e8c370 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.