Triple
T2221980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death on the Nile (2022 film) |
E48160
|
entity |
| Predicate | starring |
P1507
|
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: [Death on the Nile (2022 film), starring, Letitia Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letitia Wright Context triple: [Death on the Nile (2022 film), starring, 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.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
C.
Lily James
Lily James is an English actress known for her roles in films such as Cinderella, Baby Driver, and Mamma Mia! Here We Go Again, as well as the TV series Downton Abbey.
-
D.
Millicent Simmonds
Millicent Simmonds is a deaf American actress best known for her acclaimed performance in the horror film "A Quiet Place" and its sequel, where her authentic representation of deafness has been widely praised.
-
E.
Anya Taylor-Joy
Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65605fa481908ac5b9d837600626 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:47 p.m.