Triple
T36346421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasPerraultPublicationYear |
P196841
|
FINISHED |
| Object | 1697 |
—
|
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: 1697 | Statement: [Sleeping Beauty, hasPerraultPublicationYear, 1697]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerraultPublicationYear Context triple: [Sleeping Beauty, hasPerraultPublicationYear, 1697]
-
A.
appearsInPublicationYear
Indicates that an entity is featured in a publication that was released in a specific year.
-
B.
hasNotableCollectionPublicationYear
Indicates the year in which a notable collection associated with an entity was published.
-
C.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
D.
hasPublicationDate
Indicates that an entity is associated with the specific date on which it was published.
-
E.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
- F. None of above. chosen
Provenance (4 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_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
| PDg | Predicate description generation | batch_69fe6b7a823881909dc2037fe25bea24 |
completed | May 8, 2026, 11:02 p.m. |
Created at: May 3, 2026, 4:09 p.m.