Triple

T12060603
Position Surface form Disambiguated ID Type / Status
Subject Ariel E287157 entity
Predicate voicedBy P2181 FINISHED
Object Jodi Benson E237535 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: Jodi Benson | Statement: [Ariel, voicedBy, Jodi Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodi Benson
Context triple: [Ariel, voicedBy, Jodi Benson]
  • A. Jodi Benson chosen
    Jodi Benson is an American actress and singer best known as the iconic voice of Ariel in Disney’s "The Little Mermaid."
  • B. Amy Rydell
    Amy Rydell is an actress known for her role in the 2001 biographical television film "James Dean."
  • C. Bonnie Anderson
    Bonnie Anderson is the imaginative young girl who becomes the new owner of Woody and the other toys in Pixar's Toy Story 3 and its sequels.
  • D. Frances Bergen
    Frances Bergen was an American actress and fashion model, best known as the wife of ventriloquist Edgar Bergen and the mother of actress Candice Bergen.
  • E. Morgan Fairchild
    Morgan Fairchild is an American actress best known for her glamorous, often villainous roles in television soap operas and prime-time dramas from the 1970s and 1980s.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6532a048190b53f96c9df948dda completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.