Triple
T16556187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beautiful South |
E402207
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Briana Corrigan |
—
|
NE NERFINISHED |
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: Briana Corrigan | Statement: [The Beautiful South, hasFormerMember, Briana Corrigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briana Corrigan Context triple: [The Beautiful South, hasFormerMember, Briana Corrigan]
-
A.
Briana Corrigan
chosen
Briana Corrigan is an Irish singer best known as an original vocalist for the British pop rock band The Beautiful South.
-
B.
Briana Shann
Briana Shann is an English actress best known for her role as Katie in Ken Loach’s acclaimed social-realist film "I, Daniel Blake."
-
C.
Erin Dignam
Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
-
D.
Brianna Brown
Brianna Brown is an American actress known for her work in television and film, including prominent roles in various drama and thriller series.
-
E.
Katie O’Connell
Katie O’Connell is a television producer best known for her work as an executive producer on various American talk and entertainment shows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc99f648190b40869ce52d351c8 |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:15 a.m.