Triple
T3475112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarke |
E73353
|
entity |
| Predicate | canBeAnglicisationOf |
P3437
|
FINISHED |
| Object | Irish surnames related to clerks |
—
|
LITERAL 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: Irish surnames related to clerks | Statement: [Clarke, canBeAnglicisationOf, Irish surnames related to clerks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAnglicisationOf Context triple: [Clarke, canBeAnglicisationOf, Irish surnames related to clerks]
-
A.
hasEnglishName
chosen
Indicates that an entity is associated with a name expressed in the English language.
-
B.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
-
C.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
D.
hasBritishAccent
Indicates that the subject speaks with a British accent.
-
E.
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.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb593a388190b7786190deba96ed |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.