Triple

T9520732
Position Surface form Disambiguated ID Type / Status
Subject The Sleeping Beauty E229636 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Charles 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: Charles Perrault | Statement: [The Sleeping Beauty, basedOnWorkBy, Charles Perrault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Perrault
Context triple: [The Sleeping Beauty, basedOnWorkBy, Charles Perrault]
  • A. Perrault
    Perrault is a small rural community located within the township of Bonnechere Valley in eastern Ontario, Canada.
  • B. 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."
  • C. Henri-Maurice Perrault
    Henri-Maurice Perrault was a 19th-century Canadian architect and civil engineer known for his influential role in shaping Montreal’s civic architecture.
  • D. 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."
  • E. Jean de La Fontaine
    Jean de La Fontaine was a 17th-century French poet and fabulist best known for his enduring collection of moral fables inspired by Aesop.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9884dd5c8190b69c178cb2ac75c2 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c1f10748190a36d2092d593be97 completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:59 p.m.