Triple
T7716231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sautter |
E174891
|
entity |
| Predicate | isNameType |
P1081
|
FINISHED |
| Object | patronymic or occupational surname |
—
|
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: patronymic or occupational surname | Statement: [Sautter, isNameType, patronymic or occupational surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNameType Context triple: [Sautter, isNameType, patronymic or occupational surname]
-
A.
nameType
chosen
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
B.
isPersonalName
Indicates that the value is a personal name identifying an individual person.
-
C.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
D.
nameOf
Indicates that one entity is the name or designation of another entity.
-
E.
isEarlyNameOf
Indicates that one name is an earlier or former designation for the same entity as another name.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.