Triple
T14357898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoré d’Urfé |
E356017
|
entity |
| Predicate | L'AstréePublicationEnd |
P64920
|
FINISHED |
| Object | 1627 |
—
|
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: 1627 | Statement: [Honoré d’Urfé, L'AstréePublicationEnd, 1627]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: L'AstréePublicationEnd Context triple: [Honoré d’Urfé, L'AstréePublicationEnd, 1627]
-
A.
eraOfWorkRelease
Indicates the historical or cultural era during which a work was originally released.
-
B.
isPosthumousWorkOf
Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
-
C.
isLastPublishedNovelOf
chosen
Indicates that one entity is the most recently published novel authored by another entity.
-
D.
positionInAuthorOeuvre
Indicates the relative placement or order of a work within an author's overall body of work.
-
E.
La Cotinière
Indicates a locational or associative relationship involving the place named "La Cotinière," such as being situated in, originating from, or otherwise connected to that locality.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:15 a.m.