Triple
T3558507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Wars: The Last Jedi |
E75276
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Daisy Ridley |
E259351
|
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: Daisy Ridley | Statement: [Star Wars: The Last Jedi, castMember, Daisy Ridley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daisy Ridley Context triple: [Star Wars: The Last Jedi, castMember, Daisy Ridley]
-
A.
Daisy Ridley
chosen
Daisy Ridley is an English actress best known for portraying Rey in the Star Wars sequel trilogy and for roles in films such as Murder on the Orient Express (2017).
-
B.
Naomi Scott
Naomi Scott is a British actress and singer best known for playing Princess Jasmine in Disney’s live-action Aladdin and performing its signature song “A Whole New World.”
-
C.
John Boyega
John Boyega is a British actor and producer best known for his role as Finn in the Star Wars sequel trilogy.
-
D.
Felicity Jones
Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
-
E.
Zoe Saldana
Zoe Saldana is an American actress known for her prominent roles in major science fiction and fantasy franchises, including Star Trek, Avatar, and the Marvel Cinematic Universe.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0881d50819092332491b9527c9d |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb9983f48190bda2749d93c74a8d |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:20 p.m.