Triple

T20598573
Position Surface form Disambiguated ID Type / Status
Subject The Jungle Book (1967 film) E506112 entity
Predicate voiceActor P1507 FINISHED
Object Verna Felton 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: Verna Felton | Statement: [The Jungle Book (1967 film), voiceActor, Verna Felton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verna Felton
Context triple: [The Jungle Book (1967 film), voiceActor, Verna Felton]
  • A. Verna Felton chosen
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • B. Verna Willis
    Verna Willis was an American film editor and script supervisor active during Hollywood’s early studio era.
  • C. Betty Sizemore
    Betty Sizemore is the naive yet determined small-town waitress who becomes delusionally convinced she is a nurse in the dark comedy film "Nurse Betty."
  • D. Betty McGlown
    Betty McGlown was an original member of the vocal group that would later become the legendary Motown act The Supremes.
  • E. Lurene Tuttle
    Lurene Tuttle was an American character actress known for her prolific work in radio, film, and television from the 1930s through the 1970s.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1e251c8190926dafe1402eb63c completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:40 a.m.