Triple
T21636944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strachan |
E533984
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Strachan |
—
|
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 Strachan | Statement: [Strachan, hasNotableBearer, John Strachan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Strachan Context triple: [Strachan, hasNotableBearer, John Strachan]
-
A.
John Strachan
chosen
John Strachan was a prominent 19th-century Canadian Anglican bishop and educator who played a key role in shaping early Ontario’s religious and educational institutions.
-
B.
James Strachan
James Strachan was a Canadian businessman and sports executive best known for his role in founding and owning the NHL’s Montreal Maroons hockey team.
-
C.
James Strachan
James Strachan is a software developer best known for creating the Groovy programming language for the Java platform.
-
D.
John Rogers
John Rogers is a professional consultant and founder known for establishing the firm Leverage Consulting & Associates.
-
E.
John Rogers
John Rogers is a common English personal name shared by numerous notable individuals across fields such as religion, politics, sports, and the arts.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538ddb088190a3cba6fdc84c0ae8 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.