Triple
T11983094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora |
E285207
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Briar Rose |
E895077
|
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: [Aurora, alsoKnownAs, Briar Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briar Rose Context triple: [Aurora, alsoKnownAs, Briar Rose]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
The Princess
The Princess is a 2022 action-fantasy film starring Joey King as a fierce, battle-hardened royal fighting to save her kingdom.
-
E.
Sleeping Beauty
chosen
Sleeping Beauty is a classic European fairy tale about a princess cursed to sleep until awakened by true love, best known from literary versions by Charles Perrault and the Brothers Grimm and numerous later adaptations.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4721913108190bd767c671f6484de |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.