Triple
T10514290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring Breakers |
E247992
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Ashley Benson |
E821974
|
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: Ashley Benson | Statement: [Spring Breakers, starredActor, Ashley Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Benson Context triple: [Spring Breakers, starredActor, Ashley Benson]
-
A.
Ashley Benson
chosen
Ashley Benson is an American actress and model best known for her role as Hanna Marin on the television series "Pretty Little Liars."
-
B.
Ashley Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
-
C.
Ashley Jensen
Ashley Jensen is a Scottish actress and narrator known for her roles in television series such as "Extras," "Ugly Betty," and "Agatha Raisin," as well as various film and voice performances.
-
D.
Rachel Bilson
Rachel Bilson is an American actress best known for her television roles, including starring in the series "The O.C." and other popular TV dramas and comedies.
-
E.
Laura Prepon
Laura Prepon is an American actress best known for her roles on the television series That '70s Show and Orange Is the New Black.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cade0c81908fcbd54a90106bf9 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b13f4fc8190863d6e1aa7da5733 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:27 p.m.