Triple

T19426065
Position Surface form Disambiguated ID Type / Status
Subject Up in Arms E485982 entity
Predicate screenwriter P2831 FINISHED
Object Allen Boretz 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: Allen Boretz | Statement: [Up in Arms, screenwriter, Allen Boretz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Boretz
Context triple: [Up in Arms, screenwriter, Allen Boretz]
  • A. Allen Boretz chosen
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • B. Lou Breslow
    Lou Breslow was an American screenwriter and director best known for his work on Hollywood comedies from the 1930s through the 1950s.
  • C. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63218772c8190a48b6cb01bd12b73 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.