Triple

T10527670
Position Surface form Disambiguated ID Type / Status
Subject Balls of Fury E248347 entity
Predicate stars P1956 FINISHED
Object Diedrich Bader E548387 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: Diedrich Bader | Statement: [Balls of Fury, stars, Diedrich Bader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diedrich Bader
Context triple: [Balls of Fury, stars, Diedrich Bader]
  • A. Diedrich Bader chosen
    Diedrich Bader is an American actor and comedian known for his character roles in film and television, including prominent parts in series like "The Drew Carey Show" and "American Housewife."
  • B. Kurt Diebner
    Kurt Diebner was a German physicist who played a leading organizational role in Nazi Germany’s nuclear energy project during World War II.
  • C. Johann Bader
    Johann Bader is a relatively obscure individual sharing the surname Bader, with no widely documented public achievements or roles.
  • D. Otto Bartning
    Otto Bartning was a prominent German architect and theorist known for his influential modernist church designs and contributions to postwar reconstruction architecture.
  • E. Albert Bassermann
    Albert Bassermann was a distinguished German stage and film actor renowned for his powerful character roles in both European cinema and Hollywood.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f5ec348190875c8c877e70ba4a completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b1b0de8819089e39ec76e6bdf59 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:30 p.m.