Triple
T8763072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella (fairy tale) |
E208251
|
entity |
| Predicate | GrimmVersionFirstPublished |
P51515
|
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: [Cinderella (fairy tale), GrimmVersionFirstPublished, 1812]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GrimmVersionFirstPublished Context triple: [Cinderella (fairy tale), GrimmVersionFirstPublished, 1812]
-
A.
firstVersionYear
chosen
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
B.
firstReleasedAs
Indicates the original title or form under which an entity (such as a work, product, or version) was initially released before any later re-releases, renamings, or editions.
-
C.
firstReleaseVersion
Indicates the specific version identifier associated with the initial public release of something.
-
D.
firstCollectedEditionYear
Indicates the year in which the first collected edition of a work was published or made available.
-
E.
firstRelease
Indicates that one entity is the initial or earliest release (in time or sequence) of another entity, such as a product, work, or version.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfc85e481909a7ce80c5022e6e9 |
completed | March 31, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.