Triple

T14309628
Position Surface form Disambiguated ID Type / Status
Subject Donna Murphy E354789 entity
Predicate voicedCharacter P2000 FINISHED
Object Mother Gothel E347877 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: Mother Gothel | Statement: [Donna Murphy, voicedCharacter, Mother Gothel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mother Gothel
Context triple: [Donna Murphy, voicedCharacter, Mother Gothel]
  • A. Mother Gothel chosen
    Mother Gothel is the manipulative, vain antagonist in Disney's "Tangled" who kidnaps Rapunzel to exploit her magical healing hair and maintain her own youth.
  • B. Carabosse
    Carabosse is the malevolent fairy or sorceress who curses Princess Aurora in the classic fairy tale and ballet "The Sleeping Beauty."
  • C. Fairy Godmother
    The Fairy Godmother is a benevolent magical figure in Disney's "Cinderella" who uses her powers to help Cinderella attend the royal ball and change her destiny.
  • D. The Evil Queen
    The Evil Queen is the vain and power-hungry royal villain from Disney’s Snow White, infamous for her jealousy and use of dark magic to eliminate her rival.
  • E. Lilac Fairy
    The Lilac Fairy is a benevolent and powerful fairy in Tchaikovsky’s ballet "The Sleeping Beauty," who protects Princess Aurora and ultimately guides her to a happy awakening.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2e2444819090252684673ff3df completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.