Triple
T606888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophroniscus (son) |
E12012
|
entity |
| Predicate | familyNameOrigin |
P3325
|
FINISHED |
| Object | named after his grandfather Sophroniscus, father of Socrates |
—
|
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: named after his grandfather Sophroniscus, father of Socrates | Statement: [Sophroniscus (son), familyNameOrigin, named after his grandfather Sophroniscus, father of Socrates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyNameOrigin Context triple: [Sophroniscus (son), familyNameOrigin, named after his grandfather Sophroniscus, father of Socrates]
-
A.
familyName
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
B.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
C.
usedAsSurnameInCountry
Indicates that a particular name functions as a family surname within the specified country.
-
D.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
E.
clanChiefFamilyName
Indicates that the object is the family name (surname) of the clan chief associated with the subject.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.