Triple

T17847278
Position Surface form Disambiguated ID Type / Status
Subject Kaaren Verne E445697 entity
Predicate name P16 FINISHED
Object Kaaren Verne 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: Kaaren Verne | Statement: [Kaaren Verne, name, Kaaren Verne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaaren Verne
Context triple: [Kaaren Verne, name, Kaaren Verne]
  • A. Kaaren Verne chosen
    Kaaren Verne was a German-born actress known for her roles in Hollywood films of the 1940s, often portraying European characters during World War II–era productions.
  • B. Kathlyn Hare
    Kathlyn Hare is the daring and resourceful heroine of the early 1910s adventure film serial "The Adventures of Kathlyn."
  • C. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • D. Suzanne Kaaren
    Suzanne Kaaren was an American film actress and model active in the 1930s and 1940s, known for her roles in B-movies and as one of the original Rockettes at Radio City Music Hall.
  • E. Lecy Goranson
    Lecy Goranson is an American actress best known for playing Becky Conner on the sitcom "Roseanne" and its revival.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.