Triple

T20140422
Position Surface form Disambiguated ID Type / Status
Subject My Little Pony: The Movie E491146 entity
Predicate voiceCastMember P9616 FINISHED
Object Ingrid Nilson 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: Ingrid Nilson | Statement: [My Little Pony: The Movie, voiceCastMember, Ingrid Nilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingrid Nilson
Context triple: [My Little Pony: The Movie, voiceCastMember, Ingrid Nilson]
  • A. Viveca Lindfors
    Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
  • B. Helena Nilsson
    Helena Nilsson is a Swedish politician known for her involvement in national and regional public service.
  • C. Ulla Andersson
    Ulla Andersson is a Swedish model best known for her marriage to legendary music producer Quincy Jones in the 1960s.
  • D. Ingrid Nilsson chosen
    Ingrid Nilsson is a personal name borne by various individuals, most commonly in Scandinavian countries, rather than a single widely recognized public figure.
  • E. Birgitta Nilsson
    Birgitta Nilsson is a person notable enough to be specifically cited as a bearer of the surname Nilsson.
  • 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.