Triple

T3276860
Position Surface form Disambiguated ID Type / Status
Subject Lady and the Tramp E68777 entity
Predicate voiceCastMember P9616 FINISHED
Object Verna Felton E185964 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: Verna Felton | Statement: [Lady and the Tramp, voiceCastMember, Verna Felton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verna Felton
Context triple: [Lady and the Tramp, voiceCastMember, 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. Betty McGlown
    Betty McGlown was an original member of the vocal group that would later become the legendary Motown act The Supremes.
  • C. Betty Irene Whitaker
    Betty Irene Whitaker is the wife of Intel co-founder and philanthropist Gordon E. Moore and a partner in his philanthropic endeavors.
  • D. Loretta Rogers
    Loretta Rogers is a Canadian philanthropist and longtime director of Rogers Communications, known as the widow of company founder Ted Rogers.
  • E. Dorothy Malone
    Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533595bb88190814ea2ebe3495525 completed March 14, 2026, 10:07 a.m.
Created at: March 8, 2026, 3:10 p.m.