Triple

T13674543
Position Surface form Disambiguated ID Type / Status
Subject Fritzie E327836 entity
Predicate appliesToPerson P24111 FINISHED
Object Fritzie Zivic E65034 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: Fritzie Zivic | Statement: [Fritzie, appliesToPerson, Fritzie Zivic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritzie Zivic
Context triple: [Fritzie, appliesToPerson, Fritzie Zivic]
  • A. Fritzie Zivic chosen
    Fritzie Zivic was an American professional boxer and former world welterweight champion known for his rough, crafty fighting style during the 1930s and 1940s.
  • B. Walter Zagorski
    Walter Zagorski is best known as the former husband of Australian right-wing politician and One Nation party founder Pauline Hanson.
  • C. Pete Czernin
    Pete Czernin is a British film and television producer and co-founder of the production company Blueprint Pictures, known for backing acclaimed UK and international projects.
  • D. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • E. Martin Jurow
    Martin Jurow was an American film producer best known for his work on classic mid-20th-century Hollywood movies, including the iconic Audrey Hepburn film "Breakfast at Tiffany's."
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.