Triple
T11112826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pérez |
E262802
|
entity |
| Predicate | isMatronymic |
P97329
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Pérez, isMatronymic, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMatronymic Context triple: [Pérez, isMatronymic, no]
-
A.
isMatronymicOf
Indicates that one entity is a name or designation derived from the mother of another entity, typically used as that entity’s family or identifying name.
-
B.
isPatronymicName
Indicates that a name is derived from a father’s or ancestor’s given name, typically signifying lineage or descent.
-
C.
isPatronymicSurname
Indicates that a surname is derived from the given name of a father or male ancestor, typically signifying "son/daughter of" that person.
-
D.
isPatronymicOrToponymic
Indicates that a name or term is derived either from a person's name (patronymic) or from a place name (toponymic).
-
E.
hasPatronymicDerivative
Indicates that one name or term is derived from another by forming a patronymic, typically expressing descent or lineage from a person.
- F. None of above. chosen
Provenance (4 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa523588190a25d241ccc6a9679 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.