Triple

T14702631
Position Surface form Disambiguated ID Type / Status
Subject Lady E345343 entity
Predicate voicedBy P2181 FINISHED
Object Barbara Luddy E375294 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: Barbara Luddy | Statement: [Lady, voicedBy, Barbara Luddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara Luddy
Context triple: [Lady, voicedBy, Barbara Luddy]
  • A. Barbara Luddy chosen
    Barbara Luddy was an American voice actress best known for her work in classic Disney animated films, including voicing the title character in "Lady and the Tramp."
  • B. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • C. Julie Rogers
    Julie Rogers is a film editor known for her work on the animated sequel "Cinderella II: Dreams Come True."
  • D. Marcia Wallace
    Marcia Wallace was an American actress and comedian best known for her roles as the witty receptionist Carol Kester on television and as the voice of Edna Krabappel on "The Simpsons."
  • E. Marilyn Hack
    Marilyn Hack is a fictional aging actress character portrayed by Catherine O'Hara in the satirical film "For Your Consideration."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f21a97c819082b59b343ef337ec completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:28 a.m.