Triple

T20140344
Position Surface form Disambiguated ID Type / Status
Subject Miss Virginia E491145 entity
Predicate musicBy P1952 FINISHED
Object Laura Karpman 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: Laura Karpman | Statement: [Miss Virginia, musicBy, Laura Karpman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Karpman
Context triple: [Miss Virginia, musicBy, Laura Karpman]
  • A. Laura Karpman chosen
    Laura Karpman is an Emmy-winning American composer known for her innovative and genre-spanning scores for film, television, and video games.
  • B. Linda Kramer
    Linda Kramer is best known as the wife of Aerosmith drummer Joey Kramer.
  • C. Lisa Kramer
    Lisa Kramer is a supporting character in the romantic comedy film "Along Came Polly," known as one of the people in protagonist Reuben Feffer’s social and professional circle.
  • D. Fern Kraemer
    Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • E. Linda Gottlieb
    Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.