Triple
T20744367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Duttine |
E510536
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Duttine |
—
|
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: John Duttine | Statement: [John Duttine, name, John Duttine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Duttine Context triple: [John Duttine, name, John Duttine]
-
A.
John Duttine
chosen
John Duttine is an English actor known for his extensive work in British television drama, including prominent roles in series such as "To Serve Them All My Days" and "Heartbeat."
-
B.
Thomas Beeby
Thomas Beeby is an American architect associated with the New Classical movement, known for designing prominent cultural and institutional buildings.
-
C.
Joe Duttine
Joe Duttine is an English actor known for his work in British television and film, including prominent roles in series such as Coronation Street.
-
D.
Peter Lonsdale
Peter Lonsdale is a film editor known for his work on the animated feature "Shark Tale."
-
E.
William Jaggard
William Jaggard was a London printer and publisher best known for producing the 1623 First Folio of Shakespeare’s plays.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.