Triple
T30941007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty legend |
E788259
|
entity |
| Predicate | firstLiteraryVersionBy |
P188319
|
FINISHED |
| Object | Giambattista Basile |
E1306227
|
NE 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: Giambattista Basile | Statement: [Sleeping Beauty legend, firstLiteraryVersionBy, Giambattista Basile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLiteraryVersionBy Context triple: [Sleeping Beauty legend, firstLiteraryVersionBy, Giambattista Basile]
-
A.
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.
-
B.
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).
-
C.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
D.
firstWellKnownLiteraryVersionTitle
Indicates the title of the earliest widely recognized literary work in which the subject is prominently featured or described.
-
E.
firstDraftPublishedIn
Indicates that the first draft of a work was published or made publicly available in a specified venue, medium, or publication.
- F. None of above.
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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a034af7066c81908719bff353d77b16 |
completed | May 12, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28e4785c148190ab07fa5835a18c7c |
completed | June 10, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_6a034a2fc2308190b0b8fbd458a39323 |
completed | May 12, 2026, 3:41 p.m. |
Created at: April 29, 2026, 8:53 p.m.