Triple
T32466829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Plaisir |
E829731
|
entity |
| Predicate | adaptationOfAuthor |
P102640
|
FINISHED |
| Object | Guy de Maupassant |
—
|
NE NERFINISHED |
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: Guy de Maupassant | Statement: [Le Plaisir, adaptationOfAuthor, Guy de Maupassant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationOfAuthor Context triple: [Le Plaisir, adaptationOfAuthor, Guy de Maupassant]
-
A.
adaptationCoauthor
Indicates that the subject is a coauthor of an adaptation (e.g., a derivative or adapted work) based on another work.
-
B.
adaptedAuthor
chosen
Indicates that one entity is the author whose work has been adapted by another entity (e.g., into a different medium or format).
-
C.
adaptationBy
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
D.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
E.
adaptationPublisher
Indicates that an entity is the publisher responsible for releasing or distributing an adaptation of another work.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 12:57 a.m.