Triple

T19903922
Position Surface form Disambiguated ID Type / Status
Subject Ohio state government E478361 entity
Predicate currentGovernor P8676 FINISHED
Object Mike DeWine 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: Mike DeWine | Statement: [Ohio state government, currentGovernor, Mike DeWine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike DeWine
Context triple: [Ohio state government, currentGovernor, Mike DeWine]
  • A. Mike DeWine chosen
    Mike DeWine is an American Republican politician and attorney serving as the governor of Ohio and known for his long career in state and national public office.
  • B. Ted Strickland
    Ted Strickland is an American politician who served as the 68th governor of Ohio from 2007 to 2011 and previously represented the state in the U.S. House of Representatives.
  • C. Eric Holcomb
    Eric Holcomb is an American politician serving as the governor of Indiana and a member of the Republican Party.
  • D. Michael S. Turner
    Michael S. Turner is an American cosmologist and astrophysicist known for pioneering work on dark energy, inflation, and the early universe.
  • E. Fran DeWine
    Fran DeWine is an American public figure and advocate, known as the longtime wife of Ohio Governor Mike DeWine and for her community and charitable work in the state.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65944c55481909b54a8f9a9c087d6 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.