Triple

T13621875
Position Surface form Disambiguated ID Type / Status
Subject Julie Uhrman E325475 entity
Predicate hasBusinessPartner P282 FINISHED
Object Kara Nortman E340209 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: Kara Nortman | Statement: [Julie Uhrman, hasBusinessPartner, Kara Nortman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kara Nortman
Context triple: [Julie Uhrman, hasBusinessPartner, Kara Nortman]
  • A. Kara Nortman chosen
    Kara Nortman is a technology investor and entrepreneur best known as a co-founder and co-owner of the National Women's Soccer League club Angel City FC.
  • B. Kari Holbrook
    Kari Holbrook is an individual notable enough to be recognized as a prominent bearer of the Holbrook surname.
  • C. Rya Kihlstedt
    Rya Kihlstedt is an American actress known for her work in film and television, including prominent roles in series such as "A Teacher."
  • D. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • E. Kari Wuhrer
    Kari Wuhrer is an American actress and singer best known for her roles in 1990s television and horror films, including a main cast role on the sci-fi series "Sliders."
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0b0c9008190836242da2d6a8cbe completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 9:50 p.m.