Triple
T20043832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belinda Bauer |
E497499
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Belinda Bauer |
—
|
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: Belinda Bauer | Statement: [Belinda Bauer, name, Belinda Bauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belinda Bauer Context triple: [Belinda Bauer, name, Belinda Bauer]
-
A.
Belinda Bauer
chosen
Belinda Bauer is a British crime novelist acclaimed for her psychologically rich thrillers and multiple major crime-writing awards.
-
B.
Belinda Bauer
Belinda Bauer is an Australian actress best known for her film and television roles in the 1980s and early 1990s, often in thrillers and science fiction projects.
-
C.
Sally Beauman
Sally Beauman was a British journalist and bestselling novelist known for works such as "Rebecca’s Tale" and "Destiny."
-
D.
Alison Mundy
Alison Mundy is the troubled, reluctant medium at the center of the British supernatural drama series "Afterlife," known for her intense encounters with the dead and emotional struggles with her gift.
-
E.
Lisa Faulkner
Lisa Faulkner is an English actress, television presenter, and celebrity chef known for roles in British dramas and for winning Celebrity MasterChef.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.