Triple
T8886907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Blamey |
E211553
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blamey |
E89814
|
NE FINISHED |
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: Blamey | Statement: [Thomas Blamey, familyName, Blamey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blamey Context triple: [Thomas Blamey, familyName, Blamey]
-
A.
Blamey
chosen
Blamey is a surname most notably associated with Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
-
B.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
C.
Buckley
Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
-
D.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
E.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618d4c188190810d2e38591f515a |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabe17c78819087e74618ac49a214 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.