Triple
T10934995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Perrault |
E258308
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Perrault |
E258308
|
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: Perrault | Statement: [Charles Perrault, familyName, Perrault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perrault Context triple: [Charles Perrault, familyName, Perrault]
-
A.
Perrault
chosen
Perrault is a French surname most famously associated with Charles Perrault, the 17th-century author of classic fairy tales such as "Cinderella" and "Sleeping Beauty."
-
B.
Perrault
Perrault is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
-
C.
Jeanne-Marie Leprince de Beaumont
Jeanne-Marie Leprince de Beaumont was an 18th-century French writer and educator best known for her influential retelling of the fairy tale "Beauty and the Beast."
-
D.
Leroux
Leroux is a French surname most famously borne by Gaston Leroux, the author of "The Phantom of the Opera."
-
E.
Le Château de la Belle au Bois Dormant
Le Château de la Belle au Bois Dormant is the iconic Sleeping Beauty Castle at Disneyland Paris, serving as the park’s central fairytale landmark and visual centerpiece.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bee9b208190aee8f938dff3f234 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.