Triple
T8032709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extras |
E187025
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ashley Jensen |
E641426
|
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 Jensen | Statement: [Extras, starring, Ashley Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Jensen Context triple: [Extras, starring, Ashley Jensen]
-
A.
Ashley Jensen
chosen
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.
-
B.
Ashley Reed
Ashley Reed is a former standout gymnast for the University of Florida’s Florida Gators program, recognized as a notable alumna of the team.
-
C.
Ashley Brooke
Ashley Brooke is an actress known for her role in the film "Troop Zero."
-
D.
Ashley Scott
Ashley Scott is an American actress and former model best known for her roles in films like "Into the Blue" and TV series such as "Birds of Prey" and "Jericho."
-
E.
Ashley Hinshaw
Ashley Hinshaw is an American actress and model known for roles in films like "Chronicle" and the series "True Blood."
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef18da48190835454a5eb969da7 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe4211bc8190a784c19f11f17a39 |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:22 p.m.