Triple
T35924245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.Juss. |
E1038974
|
entity |
| Predicate | authorNameType |
P59722
|
FINISHED |
| Object | personal author name |
—
|
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: personal author name | Statement: [A.Juss., authorNameType, personal author name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorNameType Context triple: [A.Juss., authorNameType, personal author name]
-
A.
authorType
Indicates the specific role or category of authorship associated with an entity, such as primary author, co-author, or editor.
-
B.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
C.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
-
D.
authorNameVariant
chosen
Indicates that an entity has an alternative or variant form of its author name, such as different spellings, transliterations, or name formats.
-
E.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 3, 2026, 4:07 p.m.