Triple

T18297285
Position Surface form Disambiguated ID Type / Status
Subject Calvin Lowry E438262 entity
Predicate givenName P17 FINISHED
Object Calvin 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: Calvin | Statement: [Calvin Lowry, givenName, Calvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calvin
Context triple: [Calvin Lowry, givenName, Calvin]
  • A. Calvin
    Calvin is the given name of Calvin Coolidge, the 30th president of the United States known for his quiet demeanor and pro-business policies during the 1920s.
  • B. Calvin chosen
    Calvin is a masculine given name of Latin origin meaning "bald" or "hairless," borne by various notable figures across religion, politics, and the arts.
  • C. Calvin
    Calvin is the imaginative, mischievous young boy who stars in Bill Watterson’s comic strip "Calvin and Hobbes," often seen embarking on fantastical adventures with his stuffed tiger.
  • D. Calvin
    Calvin is a fictional character portrayed by English actor Asa Butterfield, likely in a film or television production.
  • E. Calvin
    Calvin was a leading Protestant Reformation theologian whose doctrines of predestination and divine sovereignty profoundly shaped later figures like Samuel Hopkins and the broader Reformed tradition.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017cc540819096c103a2c72315e6 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.