Triple
T20480757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Miracle des roses |
E502444
|
entity |
| Predicate | includedInAuthorCorpus |
P67055
|
FINISHED |
| Object | works of Jules Laforgue |
—
|
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: works of Jules Laforgue | Statement: [Le Miracle des roses, includedInAuthorCorpus, works of Jules Laforgue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInAuthorCorpus Context triple: [Le Miracle des roses, includedInAuthorCorpus, works of Jules Laforgue]
-
A.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
-
B.
hasContributorRoleOfAuthor
Indicates that an entity participates as a contributor specifically in the role of an author in relation to another entity.
-
C.
hasAuthorOfKeyWork
Indicates that an entity serves as the author or creator of a significant or primary work associated with another entity.
-
D.
hasPartOfCorpus
chosen
Indicates that one entity constitutes a component or segment of the overall corpus associated with another entity.
-
E.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b56dd248190b6bc4e513aff3c9c |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:34 a.m.