Triple

T7321693
Position Surface form Disambiguated ID Type / Status
Subject Nathan Showalter E168562 entity
Predicate hasFamilyName P18 FINISHED
Object Showalter E617931 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: Showalter | Statement: [Nathan Showalter, hasFamilyName, Showalter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showalter
Context triple: [Nathan Showalter, hasFamilyName, Showalter]
  • A. Showalter chosen
    Showalter is a surname of German origin borne by various notable individuals across fields such as sports, academia, and the arts.
  • B. Sharston
    Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
  • C. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • D. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • E. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1ba58481909cfb5030b85f385a completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef01ea8c819091cd4106039c121e completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:03 p.m.