Triple
T17163426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatie Edney |
E416541
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Beatie Edney |
E416541
|
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: Beatie Edney | Statement: [Beatie Edney, name, Beatie Edney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatie Edney Context triple: [Beatie Edney, name, Beatie Edney]
-
A.
Beatie Edney
chosen
Beatie Edney is a British actress best known for her role as Heather MacLeod in the film "Highlander" and its sequel, as well as for numerous appearances in British television dramas.
-
B.
Kate Andrich
Kate Andrich is the main protagonist of the romantic comedy film "Last Christmas," a struggling young woman in London whose life changes after she meets a mysterious man during the holiday season.
-
C.
Belinda Beatty
Belinda Beatty is known as the wife of the late American character actor Ned Beatty.
-
D.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
E.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c38b1ec819092a551e2683a4b93 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:37 a.m.