Triple
T17903733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Williams |
E447646
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Bella Ramsey |
—
|
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: Bella Ramsey | Statement: [Ellie Williams, portrayedBy, Bella Ramsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bella Ramsey Context triple: [Ellie Williams, portrayedBy, Bella Ramsey]
-
A.
Bella Ramsey
chosen
Bella Ramsey is an English actor best known for their breakout role as Lyanna Mormont in "Game of Thrones" and for playing Ellie in HBO's adaptation of "The Last of Us."
-
B.
Maisie Williams
Maisie Williams is an English actress best known for her breakout role as Arya Stark in the television series "Game of Thrones."
-
C.
Alexandra Astin
Alexandra Astin is an American actress and the daughter of actor Sean Astin, known for her small role in "The Lord of the Rings: The Return of the King."
-
D.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
E.
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.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.