Triple
T8445691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catriona |
E199668
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Caitríona |
E413787
|
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: Caitríona | Statement: [Catriona, hasSpellingVariant, Caitríona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caitríona Context triple: [Catriona, hasSpellingVariant, Caitríona]
-
A.
Caitríona
chosen
Caitríona is an Irish feminine given name, equivalent to Catherine, commonly borne by women of Irish heritage.
-
B.
Ailbhe
Ailbhe is an Irish Gaelic given name, traditionally used for both males and females and often anglicized as Alva.
-
C.
Siobhán
Siobhán is an Irish feminine given name, traditionally associated with the Gaelic form of Joan and meaning "God is gracious."
-
D.
Orla
Orla is a river in eastern Germany that flows through Thuringia before joining the Saale.
-
E.
Maire
Maire is the French term for a municipality’s chief elected official, equivalent to a mayor.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3138ee08190918cd82adbe2d9a1 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39b528f08190a0627cb17a0ffef9 |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.