Triple

T23226750
Position Surface form Disambiguated ID Type / Status
Subject The Kid from Brooklyn E581035 entity
Predicate hasCastMember P2308 FINISHED
Object Clarence Kolb NE NERFINISHED

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: Clarence Kolb | Statement: [The Kid from Brooklyn, hasCastMember, Clarence Kolb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarence Kolb
Context triple: [The Kid from Brooklyn, hasCastMember, Clarence Kolb]
  • A. Clarence Kolb chosen
    Clarence Kolb was an American vaudeville and film actor best known for his comic character roles in Hollywood movies of the 1930s and 1940s.
  • B. Clarence Myers
    Clarence Myers was the husband of Isabel Briggs Myers, co-creator of the Myers–Briggs Type Indicator personality assessment.
  • C. George L. Dahl
    George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
  • D. Clarence Peters
    Clarence Peters is a prominent Nigerian music video director and filmmaker known for his visually innovative work with many of Africa’s biggest music artists.
  • E. Nelson Van Alden
    Nelson Van Alden is a deeply religious yet increasingly unhinged Prohibition agent-turned-fugitive in the television series "Boardwalk Empire."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922f5b4081908145d66ea7534493 completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:09 p.m.