Triple
T36346422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasGrimmPublication |
P80
|
FINISHED |
| Object | Kinder- und Hausmärchen |
—
|
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: Kinder- und Hausmärchen | Statement: [Sleeping Beauty, hasGrimmPublication, Kinder- und Hausmärchen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrimmPublication Context triple: [Sleeping Beauty, hasGrimmPublication, Kinder- und Hausmärchen]
-
A.
hasPublication
chosen
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
C.
hasPublicationMedium
Indicates the medium or channel through which a work or publication is disseminated or made available.
-
D.
hasPublicationSeries
Indicates that an entity is part of, or associated with, a particular publication series.
-
E.
hasPublishedEditions
Indicates that an entity (such as a work or publication) has one or more specific editions that have been published.
- 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_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.