Triple

T7353985
Position Surface form Disambiguated ID Type / Status
Subject The Glass Slipper E169575 entity
Predicate featuresCharacter P626 FINISHED
Object Prince Charming E62934 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 Charming | Statement: [The Glass Slipper, featuresCharacter, Prince Charming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Charming
Context triple: [The Glass Slipper, featuresCharacter, Prince Charming]
  • A. Prince Charming chosen
    Prince Charming is the idealized fairytale prince known for rescuing and marrying Cinderella in the classic Disney story.
  • B. Prince Eric
    Prince Eric is the brave and kind-hearted human prince who becomes Ariel’s love interest in Disney’s animated film "The Little Mermaid."
  • C. Prince Humperdinck
    Prince Humperdinck is the scheming, cowardly prince and primary antagonist in the fantasy romance film and novel "The Princess Bride."
  • D. The Grand Duke (Disney's "Cinderella")
    The Grand Duke in Disney's "Cinderella" is the King’s fussy, long-suffering advisor tasked with organizing the royal ball and later tracking down the mysterious girl who captured the Prince’s heart.
  • E. Nutcracker Prince
    The Nutcracker Prince is the enchanted hero of the classic holiday ballet who leads Clara on a magical journey through battles and fantastical realms.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10d3ef88190b3a0763d80b1e726 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa9dfbac8190993c866cda169633 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.