Triple

T3164807
Position Surface form Disambiguated ID Type / Status
Subject University of Denver E66185 entity
Predicate founder P104 FINISHED
Object John Evans E112893 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 Evans | Statement: [University of Denver, founder, John Evans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Evans
Context triple: [University of Denver, founder, John Evans]
  • A. John Evans chosen
    John Evans was a 19th-century American physician, politician, and railroad developer who served as governor of the Colorado Territory and played a key role in the founding of Northwestern University.
  • B. John Evans
    John Evans is a mountaineer best known as one of the first climbers to reach the summit of Vinson Massif, the highest peak in Antarctica.
  • C. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
  • D. John McGowan
    John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
  • E. John Sullivan
    John Sullivan was an American general and political leader who played a prominent role in the Continental Army during the American Revolutionary War.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61ba98881909106951c8ceeb959 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28e4cdd2c8190a4b09e968b9d39be completed March 12, 2026, 9:58 a.m.
Created at: March 8, 2026, 3:06 p.m.