Triple
T21719300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald |
E536111
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Donal |
—
|
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: Donal | Statement: [Donald, hasVariant, Donal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donal Context triple: [Donald, hasVariant, Donal]
-
A.
Donal
chosen
Donal is a central character in the Irish television drama series "Ballykissangel," known for his comedic, good-natured presence in the rural village setting.
-
B.
Conall
Conall is a traditional Irish male given name of Gaelic origin, often interpreted to mean "strong wolf" or "high valor."
-
C.
Donal Bradley
Donal Bradley is a prominent British physicist and materials scientist known for pioneering work in organic electronics and light-emitting polymers.
-
D.
Ferdia
Ferdia is an Irish actor and musician best known for his breakout role in the film "Sing Street."
-
E.
Diarmuid
Diarmuid is an Irish given name of Gaelic origin, traditionally borne by figures in Irish mythology and history.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96cc58081908dda09819041b888 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.