Triple

T9520749
Position Surface form Disambiguated ID Type / Status
Subject The Sleeping Beauty E229636 entity
Predicate mainCharacter P1183 FINISHED
Object Prince Désiré E228068 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: Prince Désiré | Statement: [The Sleeping Beauty, mainCharacter, Prince Désiré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Désiré
Context triple: [The Sleeping Beauty, mainCharacter, Prince Désiré]
  • A. Prince Désiré chosen
    Prince Désiré is the fairy-tale prince who awakens the enchanted princess in "The Sleeping Beauty" and embodies the story’s ideal of heroic, romantic love.
  • B. Louis Duchosal
    Louis Duchosal was a notable Swiss operatic tenor of the mid-20th century, recognized for his performances in major European opera houses.
  • C. Lunice Fermin Pierre II
    Lunice Fermin Pierre II is a Canadian DJ and electronic music producer known for his innovative trap-influenced sound and as one half of the duo TNGHT.
  • D. Célestin Faustin
    Célestin Faustin was a prominent Haitian naïve painter known for his vivid, imaginative works that reflect Haiti’s cultural and spiritual life.
  • E. Henri de Castries
    Henri de Castries is a French businessman best known for serving as chairman and CEO of the global insurance group AXA.
  • 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_69d13a56da2481909873c8d567b3fd5f completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.