Triple
T22646078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel By Drive |
E558965
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John By |
—
|
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 By | Statement: [Colonel By Drive, namedAfter, John By]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John By Context triple: [Colonel By Drive, namedAfter, John By]
-
A.
John By
chosen
John By was a British military engineer and lieutenant-colonel best known for supervising the construction of the Rideau Canal and founding the settlement that became Ottawa, Canada.
-
B.
Byron Paul
Byron Paul was an American film and television producer and occasional actor active in mid-20th-century Hollywood.
-
C.
Byron Thames
Byron Thames is an American actor best known for his work as a child and teen performer in film and television during the late 1970s and 1980s.
-
D.
Byron Henry
Byron Henry is a central fictional character in Herman Wouk’s World War II novel "The Winds of War," portrayed as a young American naval officer whose experiences provide a personal lens on the global conflict.
-
E.
Byron Douglas
Byron Douglas is an actor known for his role in the animated series "Speedy."
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170371fe08190a6a53809d185f8b5 |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.