Triple
T26564412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelliher |
E666336
|
entity |
| Predicate | hasAnglicizedFormOf |
P3437
|
FINISHED |
| Object | Ó Céileachair |
—
|
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: Ó Céileachair | Statement: [Kelliher, hasAnglicizedFormOf, Ó Céileachair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnglicizedFormOf Context triple: [Kelliher, hasAnglicizedFormOf, Ó Céileachair]
-
A.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
-
B.
isOftenAmericanizedFormOf
Indicates that one term is a version of another term that has been adapted into common American usage, typically in spelling, form, or style.
-
C.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
D.
hasLaterNameInEnglish
Indicates that an entity is known by a different English name at a later time or in a subsequent context.
-
E.
isCombinedFormOf
Indicates that one entity is a composite or merged form that results from combining two or more other entities.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 1:54 a.m.