Triple
T20702689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Due South |
E508821
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Benton Fraser |
—
|
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: Benton Fraser | Statement: [Due South, hasMainCharacter, Benton Fraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benton Fraser Context triple: [Due South, hasMainCharacter, Benton Fraser]
-
A.
Benton Fraser
chosen
Benton Fraser is the principled, polite Royal Canadian Mounted Police officer and main protagonist of the television series "Due South."
-
B.
Douglas Gresham
Douglas Gresham is a British-American author, film producer, and stepson of C. S. Lewis, known for his work on adaptations of "The Chronicles of Narnia."
-
C.
Charles Noland
Charles Noland is an American actor known for his character roles in film, television, and theater.
-
D.
John Benton
John Benton is a fictional UNIT sergeant and recurring supporting character from the classic British science fiction television series "Doctor Who."
-
E.
William MacDermott
William MacDermott is an individual whose name is a variant spelling of William McDermott, likely referring to the same person in historical or biographical records.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:13 p.m.