Triple
T18613602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Camfield |
E454960
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sheila Dunn |
—
|
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: Sheila Dunn | Statement: [Douglas Camfield, spouse, Sheila Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Dunn Context triple: [Douglas Camfield, spouse, Sheila Dunn]
-
A.
Sheila Dunn
chosen
Sheila Dunn is an actress known for her role in the film "Inferno."
-
B.
Janine Dunn
Janine Dunn is the wife of country music singer Ronnie Dunn, known for her long-term marriage and support of his career.
-
C.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
D.
Sheila Watson
Sheila Watson was a pioneering Canadian modernist writer and critic best known for her influential novel "The Double Hook," which helped shape the development of contemporary Canadian literature.
-
E.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d030d488190a992d10d3d28b4ad |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.