Triple
T20809382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochrane, Ontario |
E512255
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Frank Cochrane |
—
|
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: Frank Cochrane | Statement: [Cochrane, Ontario, namedAfter, Frank Cochrane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Cochrane Context triple: [Cochrane, Ontario, namedAfter, Frank Cochrane]
-
A.
Frank Cochrane
chosen
Frank Cochrane was a Canadian politician and public figure after whom the town of Cochrane, Ontario, was named.
-
B.
Carl Ellsworth
Carl Ellsworth is an American screenwriter known for writing suspense and thriller films such as "Red Eye" and "Disturbia."
-
C.
Alex Weir
Alex Weir is an American guitarist best known for his work with the funk and new wave band the Tom Tom Club and his collaborations with Talking Heads.
-
D.
John Woodcock
John Woodcock is a film editor best known for his work on movies such as "The Nutty Professor."
-
E.
Dexter Pratt
Dexter Pratt was a 19th-century New England resident best known as the real-life blacksmith who inspired the character in Henry Wadsworth Longfellow’s poem “The Village Blacksmith.”
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d199888190b8b190c928f510b7 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.