Triple

T16999527
Position Surface form Disambiguated ID Type / Status
Subject Norbert Brodine E412405 entity
Predicate name P16 FINISHED
Object Norbert Brodine E412405 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: Norbert Brodine | Statement: [Norbert Brodine, name, Norbert Brodine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norbert Brodine
Context triple: [Norbert Brodine, name, Norbert Brodine]
  • A. Norbert Brodine chosen
    Norbert Brodine was an American cinematographer known for his work on numerous Hollywood films from the silent era through the mid-20th century, particularly in film noir and crime dramas.
  • B. John Froines
    John Froines was an American chemist, anti–Vietnam War activist, and one of the defendants in the infamous Chicago Seven trial.
  • C. Ralph Kabnis
    Ralph Kabnis is the troubled, introspective schoolteacher protagonist of Jean Toomer’s Cane, whose experiences in the Jim Crow South explore themes of racial identity, alienation, and spiritual crisis.
  • D. Jerome Boger
    Jerome Boger is a former NFL official best known for serving as the head referee in Super Bowl XLVII.
  • E. Paul Colichman
    Paul Colichman is an American film and television producer and media executive best known for his work on independent and LGBTQ-themed projects and for co-founding the Here Media network.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37cd6248190a7202ae754882640 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233134288190bbe151f257150dfb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.