Triple
T19442355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mémoires de Jean-Baptiste Louvet de Couvrai |
E486380
|
entity |
| Predicate | workSubjectRoleOfAuthor |
P129784
|
FINISHED |
| Object | Girondin deputy |
—
|
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: Girondin deputy | Statement: [Mémoires de Jean-Baptiste Louvet de Couvrai, workSubjectRoleOfAuthor, Girondin deputy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSubjectRoleOfAuthor Context triple: [Mémoires de Jean-Baptiste Louvet de Couvrai, workSubjectRoleOfAuthor, Girondin deputy]
-
A.
subjectOfWorkBy
chosen
Indicates that one entity is the main topic or focus of a work (such as a book, article, or artwork) created by another entity.
-
B.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to another entity.
-
C.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
-
D.
workOfAuthorWho
Indicates that one entity is a work (such as a book, article, or artwork) created by another entity who is its author.
-
E.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63386c520819092bea5d7f259a226 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.