Triple
T25276811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ó Laithimh |
E633718
|
entity |
| Predicate | hasMarriedFeminineForm |
P81456
|
FINISHED |
| Object | Bean Uí Laithimh |
—
|
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: Bean Uí Laithimh | Statement: [Ó Laithimh, hasMarriedFeminineForm, Bean Uí Laithimh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarriedFeminineForm Context triple: [Ó Laithimh, hasMarriedFeminineForm, Bean Uí Laithimh]
-
A.
hasSpouseUsingFeminineForm
chosen
Indicates that one entity has a spouse, and this spousal relationship is expressed or recorded using a feminine grammatical form.
-
B.
hasMarriedSurname
Indicates that a person’s current surname is the one they adopted through marriage.
-
C.
marriedIn
Indicates that two entities entered into a marital relationship at a specific place or within a particular jurisdiction.
-
D.
marriedAfter
Indicates that one marriage occurred later in time than another specified marriage.
-
E.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
- F. None of above.
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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 21, 2026, 1:18 p.m.