Triple
T36346420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasPerraultPublication |
P11143
|
FINISHED |
| Object | Histoires ou contes du temps passé |
—
|
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: Histoires ou contes du temps passé | Statement: [Sleeping Beauty, hasPerraultPublication, Histoires ou contes du temps passé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerraultPublication Context triple: [Sleeping Beauty, hasPerraultPublication, Histoires ou contes du temps passé]
-
A.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
hasPrintPublications
Indicates that an entity possesses or is associated with one or more printed publications (such as books, journals, or other print media).
-
C.
hasAuthorPublished
Indicates that a specific author has produced and made publicly available at least one work, such as a book, article, or paper.
-
D.
hasRelatedPublication
chosen
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
-
E.
hasNumberOfPubs
Indicates that an entity is associated with a specific count of publications.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:09 p.m.