Triple
T16682873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: Hell Bent |
E405382
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Maisie Williams |
E341853
|
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: Maisie Williams | Statement: [Doctor Who: Hell Bent, portrayedBy, Maisie Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maisie Williams Context triple: [Doctor Who: Hell Bent, portrayedBy, Maisie Williams]
-
A.
Maisie Williams
chosen
Maisie Williams is an English actress best known for her breakout role as Arya Stark in the television series "Game of Thrones."
-
B.
Bella Ramsey
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."
-
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.
Emilia Clarke
Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
-
E.
Saskia Reeves
Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d70d3f8819087d1bd700c94a83f |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a404f448190a9dc7831382ffcdc |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.