Triple

T20140372
Position Surface form Disambiguated ID Type / Status
Subject My Little Pony: The Movie E491146 entity
Predicate storyBy P1955 FINISHED
Object Meghan McCarthy 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: Meghan McCarthy | Statement: [My Little Pony: The Movie, storyBy, Meghan McCarthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meghan McCarthy
Context triple: [My Little Pony: The Movie, storyBy, Meghan McCarthy]
  • A. Meghan McCarthy chosen
    Meghan McCarthy is an American writer and producer best known for her work on the animated series "My Little Pony: Friendship Is Magic" and its related films.
  • B. Meghan McDermott
    Meghan McDermott is an American public relations and communications professional best known for her marriage to actor Theo Rossi.
  • C. Meghan Walsh
    Meghan Walsh is the daughter of American television personality and victims’ rights advocate John Walsh.
  • D. Megan McArthur
    Megan McArthur is a NASA astronaut and oceanographer best known for her role as a mission specialist on Space Shuttle missions, including the final Hubble Space Telescope servicing flight.
  • E. Megan McClure
    Megan McClure is an American volleyball player best known as a standout outside hitter for Stanford University's powerhouse women's volleyball program.
  • 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.