Triple

T2045028
Position Surface form Disambiguated ID Type / Status
Subject László Löwenstein E45430 entity
Predicate spouse P13 FINISHED
Object Karen Verne E52446 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: Karen Verne | Statement: [László Löwenstein, spouse, Karen Verne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Verne
Context triple: [László Löwenstein, spouse, Karen Verne]
  • A. Karen Verne chosen
    Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
  • B. Sally Menke
    Sally Menke was an American film editor best known for her long-time collaboration with director Quentin Tarantino on films such as Pulp Fiction, Kill Bill, and Inglourious Basterds.
  • C. Linda Arvidson
    Linda Arvidson was an early American silent film actress and writer, best known for her work in pioneering films of the 1900s and her association with director D. W. Griffith.
  • D. Diane Venora
    Diane Venora is an American actress known for her intense, versatile performances in film, television, and theater, including prominent roles in works like "Heat" and "Romeo + Juliet."
  • E. Lynne Haldeman
    Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200125f081909ab40b6a04adaa25 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.