Triple
T19781811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Paul Scofield |
E475152
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joy Parker |
—
|
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: Joy Parker | Statement: [David Paul Scofield, spouse, Joy Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy Parker Context triple: [David Paul Scofield, spouse, Joy Parker]
-
A.
Joy Parker
chosen
Joy Parker was the wife of acclaimed English actor Paul Scofield, with whom she shared a long marriage and family life.
-
B.
Carol Parker
Carol Parker is best known as the wife of Marlon Jackson, a member of the famed Jackson family and former singer of The Jackson 5.
-
C.
Emily Parker
Emily Parker was the mother of renowned British-Canadian poet and writer Robert W. Service.
-
D.
Kim Parker
Kim Parker is a comedic, outspoken teenage character from the sitcom "Moesha," later becoming a central figure in its spin-off series "The Parkers."
-
E.
Melody Parker
Melody Parker is the imaginative young girl protagonist of the children's book series "The Queen's Nose," known for her adventures with a magical 50p coin that grants wishes.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653846a248190adc4afe0dc29a402 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.