Triple

T8948094
Position Surface form Disambiguated ID Type / Status
Subject Muskingum College E213272 entity
Predicate notableAlumnus P304 FINISHED
Object John Glenn E41859 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: John Glenn | Statement: [Muskingum College, notableAlumnus, John Glenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Glenn
Context triple: [Muskingum College, notableAlumnus, John Glenn]
  • A. John Glenn chosen
    John Glenn was a pioneering American astronaut, the first U.S. citizen to orbit Earth, and later a long-serving U.S. senator.
  • B. Alan Shepard
    Alan Shepard was a pioneering NASA astronaut and naval aviator who became the first American in space and later walked on the Moon during the Apollo 14 mission.
  • C. John Young
    John Young was an early American pioneer and land developer best known for founding and giving his name to the city of Youngstown, Ohio.
  • D. John Young
    John Young was a highly accomplished NASA astronaut and U.S. Navy test pilot who flew on Gemini, Apollo, and Space Shuttle missions, including commanding the Apollo 16 Moon landing.
  • E. John Young
    John Young is a relatively common personal name that may refer to various individuals across different fields such as politics, sports, and the arts.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065b51dd881908a7cb8c02562801b completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 6:59 p.m.