Triple
T36346419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasFirstKnownLiteraryVersionDate |
P188319
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Sleeping Beauty, hasFirstKnownLiteraryVersionDate, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstKnownLiteraryVersionDate Context triple: [Sleeping Beauty, hasFirstKnownLiteraryVersionDate, 17th century]
-
A.
hasEarliestKnownLiteraryVersion
chosen
Indicates that one entity is the earliest known literary version or attested written form of another entity (such as a story, motif, or tradition).
-
B.
firstWellKnownLiteraryVersionYear
Indicates the year in which the first well-known literary version of something (such as a story, character, or motif) was published or recorded.
-
C.
firstLatinTranslationDate
Indicates the date on which something was first translated into Latin.
-
D.
hasEarliestMajorCorpus
Indicates that one entity is associated with the earliest significant or primary body of work (major corpus) relative to other comparable entities.
-
E.
approximateDateOfFirstPrinting
Indicates the estimated or uncertain date when an item was first printed.
- 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_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 3, 2026, 4:09 p.m.