Triple
T20702690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Due South |
E508821
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Ray Vecchio |
—
|
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: Ray Vecchio | Statement: [Due South, hasMainCharacter, Ray Vecchio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Vecchio Context triple: [Due South, hasMainCharacter, Ray Vecchio]
-
A.
Ray Vecchio
chosen
Ray Vecchio is a street-smart, wisecracking Chicago detective and one of the main partners of Mountie Benton Fraser in the television series "Due South."
-
B.
Tony Kayden
Tony Kayden is a film and television screenwriter best known for his work on the science fiction movie "Slipstream."
-
C.
Dan Riccio
Dan Riccio is a senior Apple executive and longtime hardware engineering leader known for overseeing the development of many of the company’s major products.
-
D.
Patrick Lewis
Patrick Lewis is the introspective immigrant laborer protagonist of Michael Ondaatje’s novel "In the Skin of a Lion," whose experiences illuminate themes of identity, class, and the hidden lives behind Toronto’s early 20th-century development.
-
E.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
- 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.