Triple

T18684936
Position Surface form Disambiguated ID Type / Status
Subject Harry Everts E456832 entity
Predicate hasFamilyName P18 FINISHED
Object Everts 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: Everts | Statement: [Harry Everts, hasFamilyName, Everts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everts
Context triple: [Harry Everts, hasFamilyName, Everts]
  • A. Everts chosen
    Everts is a surname, most notably associated with individuals of Dutch or German origin and often considered a variant of the name Evers.
  • B. Everett Kent
    Everett Kent was an American politician who served as a Democratic member of the U.S. House of Representatives from Pennsylvania in the early 20th century.
  • C. Gwynn
    Gwynn is the surname of Hall of Fame Major League Baseball right fielder Tony Gwynn, renowned for his exceptional hitting ability with the San Diego Padres.
  • D. Mays
    Mays is a surname most notably associated with American baseball pitcher Carl Mays, remembered for his controversial career in Major League Baseball.
  • E. Dick Avery
    Dick Avery is the fashion photographer portrayed by Fred Astaire in the 1957 musical film "Funny Face."
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2c58188190b906c9ab080a76ff completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.