Triple

T20140370
Position Surface form Disambiguated ID Type / Status
Subject My Little Pony: The Movie E491146 entity
Predicate screenwriter P2831 FINISHED
Object Rita Hsiao NE NERFINISHED

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: Rita Hsiao | Statement: [My Little Pony: The Movie, screenwriter, Rita Hsiao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Hsiao
Context triple: [My Little Pony: The Movie, screenwriter, Rita Hsiao]
  • A. Rita Hsiao chosen
    Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
  • B. Linda Yueh
    Linda Yueh is a British economist, broadcaster, and author known for her work on global economic policy and for presenting and commenting on economic issues in the media.
  • C. Nancy Kwan
    Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
  • D. Cindy Wu
    Cindy Wu is a companion character in Titan Comics' Doctor Who series who travels with the Tenth Doctor on various adventures.
  • E. Gigi Chao
    Gigi Chao is a Hong Kong businesswoman and LGBTQ+ rights advocate known internationally after her billionaire father publicly offered a large dowry to any man who could persuade her to marry him despite her being openly lesbian.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.