Triple
T7577798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourke |
E179401
|
entity |
| Predicate | isRelatedSurname |
P3889
|
FINISHED |
| Object | Burke |
E379595
|
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: Burke | Statement: [Bourke, isRelatedSurname, Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burke Context triple: [Bourke, isRelatedSurname, Burke]
-
A.
Burke
chosen
Burke is a common Irish-origin surname borne by numerous notable figures across politics, the arts, and public life.
-
B.
Burke
Burke is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, parks, and proximity to Washington, D.C.
-
C.
Burke
Burke is a town located in Dane County, Wisconsin, known as a suburban community near the city of Madison.
-
D.
Edmund Burke
Edmund Burke was an 18th-century Irish statesman, political theorist, and philosopher widely regarded as the intellectual father of modern conservatism.
-
E.
Nathaniel Burke
Nathaniel Burke is the primary villain in the 1997 superhero film "Steel," serving as the main adversary to the armored hero John Henry Irons.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94cdbec81909f2ba7ce04e49931 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8683baa248190964922e0add0b697 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:51 p.m.