Triple

T20666388
Position Surface form Disambiguated ID Type / Status
Subject Gilmore, Ohio E507898 entity
Predicate namedAfter P63 FINISHED
Object Nathaniel Gilmore 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: Nathaniel Gilmore | Statement: [Gilmore, Ohio, namedAfter, Nathaniel Gilmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathaniel Gilmore
Context triple: [Gilmore, Ohio, namedAfter, Nathaniel Gilmore]
  • A. Nathaniel Gilmore chosen
    Nathaniel Gilmore was an early settler or notable local figure after whom the community of Gilmore, Ohio, was named.
  • B. John H. Glover
    John H. Glover was a notable individual interred at Harleigh Cemetery, recognized for his regional historical significance.
  • C. Henry Coddington
    Henry Coddington was a 19th-century Irish-born physicist and clergyman known for his work in optics and for popularizing the Coddington lens.
  • D. Samuel Livermore
    Samuel Livermore was an American lawyer and politician from New Hampshire who served as a U.S. senator and an early leader in the federal government.
  • E. John Schuyler Moore
    John Schuyler Moore is a fictional New York Times reporter and close ally of criminal psychologist Dr. Laszlo Kreizler in Caleb Carr’s historical crime novel "The Alienist."
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.