Triple

T12213923
Position Surface form Disambiguated ID Type / Status
Subject Glen Keane E291034 entity
Predicate animatedCharacter P103828 FINISHED
Object Rapunzel E126644 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: Rapunzel | Statement: [Glen Keane, animatedCharacter, Rapunzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rapunzel
Context triple: [Glen Keane, animatedCharacter, Rapunzel]
  • A. Rapunzel chosen
    Rapunzel is a classic fairy-tale princess best known for her extraordinarily long hair and her story of captivity in a tower and eventual escape.
  • B. Snow White
    Snow White is the kind-hearted princess and central heroine of Disney’s classic 1937 animated film "Snow White and the Seven Dwarfs," renowned as the studio’s first feature-length animated character.
  • C. the Witch from Rapunzel
    The Witch from Rapunzel is the powerful, overprotective sorceress who imprisons Rapunzel in a tower and serves as the primary antagonist in the classic fairy tale.
  • D. Elsa
    Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
  • E. Blancanieves
    Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.