Triple
T19877504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarvis Street |
E477676
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Samuel Jarvis |
—
|
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: Samuel Jarvis | Statement: [Jarvis Street, namedAfter, Samuel Jarvis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Jarvis Context triple: [Jarvis Street, namedAfter, Samuel Jarvis]
-
A.
Samuel Jarvis
chosen
Samuel Jarvis was a prominent early Canadian figure from Toronto’s Jarvis family, after whom Jarvis Street is named.
-
B.
Samuel Lester
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
-
C.
Samuel Murray
Samuel Murray was an American sculptor known for his public monuments and portrait statues in the late 19th and early 20th centuries.
-
D.
James Jarvis
James Jarvis is a British illustrator and pioneering designer known for his influential vinyl toy characters and work in the art and design world.
-
E.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dc8ce08190b005ad49924e5659 |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.