Triple

T11761752
Position Surface form Disambiguated ID Type / Status
Subject Gary Moeller E279672 entity
Predicate placeOfDeath P21 FINISHED
Object Lima, Ohio, United States E469161 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: Lima, Ohio, United States | Statement: [Gary Moeller, placeOfDeath, Lima, Ohio, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima, Ohio, United States
Context triple: [Gary Moeller, placeOfDeath, Lima, Ohio, United States]
  • A. Lima, Ohio chosen
    Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
  • B. Fremont, Ohio, United States
    Fremont, Ohio, United States is a small city in northern Ohio best known as the longtime home and burial place of U.S. President Rutherford B. Hayes.
  • C. Peru, Ohio
    Peru, Ohio is a small unincorporated community located in Huron County in the northern part of the U.S. state of Ohio.
  • D. Lancaster, Ohio, United States
    Lancaster, Ohio, United States is a small city in central Ohio best known as the birthplace of Union Civil War General William Tecumseh Sherman.
  • E. Ada, Ohio, United States
    Ada, Ohio, United States, is a small village in Hardin County best known as the home of Ohio Northern University and the longtime manufacturer of official footballs for the NFL.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.