Triple

T19174932
Position Surface form Disambiguated ID Type / Status
Subject State Auditor of Minnesota E469414 entity
Predicate officeHeldBy P537 FINISHED
Object Julie Blaha 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: Julie Blaha | Statement: [State Auditor of Minnesota, officeHeldBy, Julie Blaha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Blaha
Context triple: [State Auditor of Minnesota, officeHeldBy, Julie Blaha]
  • A. Julie Blaha chosen
    Julie Blaha is an American politician who serves as Minnesota’s State Auditor.
  • B. Julie Glenn
    Julie Glenn is an actress best known for her role in the French coming-of-age film "L'Effrontée."
  • C. Julie Hickson
    Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
  • D. Lisa Kehler
    Lisa Kehler is an individual notable enough to be recognized as a prominent bearer of the surname Kehler.
  • E. Kimberly Loya
    Kimberly Loya is a former member of the experimental indie rock band Dirty Projectors.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f166d3888190adaf6dc8531a8ed1 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.