Triple
T7577801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourke |
E179401
|
entity |
| Predicate | hasAnglicisedFormOf |
P3437
|
FINISHED |
| Object | de Búrca |
E675008
|
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: de Búrca | Statement: [Bourke, hasAnglicisedFormOf, de Búrca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Búrca Context triple: [Bourke, hasAnglicisedFormOf, de Búrca]
-
A.
de Burca
chosen
de Burca is an Irish surname of Norman origin, historically associated with the Anglo-Norman Burke/Bourke family in Ireland.
-
B.
Ó Ceallaigh
Ó Ceallaigh is an Irish Gaelic surname that is traditionally anglicised as Kelly, one of the most common family names in Ireland and the Irish diaspora.
-
C.
Mac Diarmada
Mac Diarmada is an Irish surname of Gaelic origin, historically associated with a prominent clan in Connacht.
-
D.
Diarmaid Murtagh
Diarmaid Murtagh is an Irish actor known for his roles in film and television, including appearances in historical and fantasy productions.
-
E.
Cathal Ryan
Cathal Ryan was an Irish businessman and heir to the Ryanair fortune, known for his involvement in aviation and investment activities.
- 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_69c8707beee881909199518c8ceb3076 |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:51 p.m.