Triple

T7555716
Position Surface form Disambiguated ID Type / Status
Subject Wirtz family E178660 entity
Predicate hasNotableMember P304 FINISHED
Object Arthur Wirtz E180908 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: Arthur Wirtz | Statement: [Wirtz family, hasNotableMember, Arthur Wirtz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Wirtz
Context triple: [Wirtz family, hasNotableMember, Arthur Wirtz]
  • A. Arthur M. Wirtz chosen
    Arthur M. Wirtz was an American businessman and sports executive best known for building a major empire in arena management and professional hockey ownership, including the Chicago Blackhawks.
  • B. Albert Warner
    Albert Warner was an American film executive and one of the four Warner brothers who co-founded the major Hollywood studio Warner Bros.
  • C. Allan Huber Selig
    Allan Huber "Bud" Selig is the former Commissioner of Major League Baseball who oversaw the sport's expansion, labor reforms, and the introduction of the wild card and interleague play.
  • D. Albert Hahl
    Albert Hahl was a German colonial administrator best known for serving as governor of German New Guinea in the early 20th century.
  • E. Norman Wooland
    Norman Wooland was a British character actor known for his supporting roles in mid-20th-century films, particularly in Shakespearean and historical dramas.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8d82dd481908351876edc70c4ec completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856c20258819081761699228b8ba3 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:49 p.m.