Triple
T14804170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformations |
E347987
|
entity |
| Predicate | containsPoem |
P21160
|
FINISHED |
| Object | Briar Rose |
E1103864
|
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: Briar Rose | Statement: [Transformations, containsPoem, Briar Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briar Rose Context triple: [Transformations, containsPoem, Briar Rose]
-
A.
Briar Rose
chosen
Briar Rose is a fairy-tale princess figure best known as the enchanted, long-sleeping heroine in adaptations of the Sleeping Beauty story.
-
B.
Fairest
Fairest is a comic book spin-off of the Fables series that focuses on the stories and adventures of its female fairy-tale characters.
-
C.
The Sleeping Princess
The Sleeping Princess is an Art Nouveau–style painting by Scottish artist Frances Macdonald, reflecting the distinctive symbolism and decorative elegance of the Glasgow School.
-
D.
The Sleeping Beauty
The Sleeping Beauty is a poetic work by British writer Edith Sitwell, reflecting her distinctive modernist style and experimental use of rhythm and sound.
-
E.
The Sleeping Beauty
The Sleeping Beauty is a landmark classical ballet, originally choreographed by Marius Petipa to Tchaikovsky’s score, renowned for its grand style, technical precision, and prominence in the Mariinsky Theatre tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:34 a.m.