Triple
T10937920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ada Shelby |
E258384
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Sophie Rundle |
E258391
|
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: Sophie Rundle | Statement: [Ada Shelby, portrayedBy, Sophie Rundle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Rundle Context triple: [Ada Shelby, portrayedBy, Sophie Rundle]
-
A.
Sophie Rundle
chosen
Sophie Rundle is a British actress best known for her role as Ada Shelby in the television crime drama series "Peaky Blinders."
-
B.
Georgie Henley
Georgie Henley is an English actress best known for playing Lucy Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia" series.
-
C.
Sophia Di Martino
Sophia Di Martino is a British actress best known for her role as Sylvie in the Marvel series "Loki" and for appearances in films and television including the romantic comedy "Yesterday."
-
D.
Katherine Hoult
Katherine Hoult is known as the spouse of Richard Mather.
-
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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b12a9881909305db49aa554a1b |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4830a903481909eaf327457eabf2b |
completed | April 19, 2026, 7:23 a.m. |
Created at: April 8, 2026, 9:23 p.m.