Triple
T30251484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacMairtin |
E769212
|
entity |
| Predicate | followsNamingPractice |
P152650
|
FINISHED |
| Object | traditional patronymic naming |
—
|
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: traditional patronymic naming | Statement: [MacMairtin, followsNamingPractice, traditional patronymic naming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNamingPractice Context triple: [MacMairtin, followsNamingPractice, traditional patronymic naming]
-
A.
followsNameOf
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
B.
followsInName
Indicates that one entity’s name is derived from, modeled after, or intentionally patterned to follow the naming of another entity.
-
C.
usedInNamingPractice
chosen
Indicates that something serves as a basis, source, or reference in the practice of assigning names.
-
D.
isNamedAccordingTo
Indicates that one entity receives its name based on, or in accordance with, another entity, rule, or naming convention.
-
E.
hasNaming
Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 29, 2026, 7:40 p.m.