Triple

T9914696
Position Surface form Disambiguated ID Type / Status
Subject Donovan's Brain E185837 entity
Predicate stars P1956 FINISHED
Object Steve Brodie E536322 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: Steve Brodie | Statement: [Donovan's Brain, stars, Steve Brodie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Brodie
Context triple: [Donovan's Brain, stars, Steve Brodie]
  • A. Steve Brodie chosen
    Steve Brodie was an American character actor known for his prolific work in film noir and Westerns during the 1940s and 1950s.
  • B. Harry Brooks
    Harry Brooks was an American jazz pianist and composer best known for co-writing classic standards of the 1920s and 1930s.
  • C. Oscar Brodney
    Oscar Brodney was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly biographical and musical dramas.
  • D. Harvey Fisk
    Harvey Fisk was a prominent 19th-century American banker and bond dealer known for his role in financing the U.S. government during and after the Civil War.
  • E. Frank Klingebiel
    Frank Klingebiel is a German local politician who serves as the long-time mayor of the city of Salzgitter in Lower Saxony.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dd82edc8190b405a3969864af77 completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:41 p.m.