Triple
T36346423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasGrimmFirstEditionYear |
P19469
|
FINISHED |
| Object | 1812 |
—
|
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: 1812 | Statement: [Sleeping Beauty, hasGrimmFirstEditionYear, 1812]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrimmFirstEditionYear Context triple: [Sleeping Beauty, hasGrimmFirstEditionYear, 1812]
-
A.
hasFirstEditionYear
chosen
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
-
B.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
C.
isFirstEditionOf
Indicates that one entity is the original first published edition of another work or publication.
-
D.
firstEditionEndYear
Indicates the year in which the first edition of something (such as a work, event, or series) concluded or ceased to be current.
-
E.
firstCollectedEditionYear
Indicates the year in which the first collected edition of a work was published or made available.
- 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_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:09 p.m.