Triple

T14169300
Position Surface form Disambiguated ID Type / Status
Subject Ogle County E351163 entity
Predicate namedAfter P63 FINISHED
Object Joseph Ogle E856064 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: Joseph Ogle | Statement: [Ogle County, namedAfter, Joseph Ogle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Ogle
Context triple: [Ogle County, namedAfter, Joseph Ogle]
  • A. Joseph Ogle chosen
    Joseph Ogle was an early American pioneer and settler after whom Ogle County in Illinois is named.
  • B. Charles Ogle
    Charles Ogle was an American silent film actor best known for his early screen roles, including portraying Frankenstein's monster in the 1910 adaptation of Mary Shelley's novel.
  • C. Sylvester Keliher
    Sylvester Keliher was a prominent labor leader associated with the American Railway Union, an influential early industrial union in the United States.
  • D. William Brazel
    William Brazel was the New Mexico rancher whose discovery of mysterious debris on his property in 1947 sparked what became known as the Roswell UFO incident.
  • E. William Gaud
    William Gaud was a U.S. government official and former USAID administrator best known for popularizing the term "Green Revolution" to describe the rapid modernization and intensification of global agriculture in the mid-20th century.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1 a.m.