Triple
T10737388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Rosie |
E253227
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jaime Winstone |
E529073
|
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: Jaime Winstone | Statement: [Love, Rosie, stars, Jaime Winstone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime Winstone Context triple: [Love, Rosie, stars, Jaime Winstone]
-
A.
Jaime Winstone
chosen
Jaime Winstone is an English actress known for her roles in film and television, often appearing in gritty dramas and independent British productions.
-
B.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
C.
Thomas Sangster
Thomas Sangster is a British actor best known for his roles in "Love Actually," "The Maze Runner" series, and the TV series "The Queen's Gambit."
-
D.
Lee Williams
Lee Williams is an actor known for his work in British television and film.
-
E.
Rowan Joffe
Rowan Joffe is a British screenwriter and director known for his work on film and television thrillers, including creating the series "Tin Star."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.