Triple

T12637032
Position Surface form Disambiguated ID Type / Status
Subject 12 Angry Men E301791 entity
Predicate producer P490 FINISHED
Object Reginald Rose E489020 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: Reginald Rose | Statement: [12 Angry Men, producer, Reginald Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald Rose
Context triple: [12 Angry Men, producer, Reginald Rose]
  • A. Reginald Rose chosen
    Reginald Rose was an American screenwriter and playwright best known for writing the landmark courtroom drama "Twelve Angry Men."
  • B. Meyer Levin
    Meyer Levin was an American novelist and journalist best known for his pioneering works on the Holocaust and for helping to bring "The Diary of Anne Frank" to public attention.
  • C. Irving Wallace
    Irving Wallace was an American novelist and screenwriter known for his bestselling, often controversial, popular fiction exploring sexuality, power, and social issues.
  • D. Paddy Chayefsky
    Paddy Chayefsky was an American playwright and screenwriter renowned for his sharp, satirical dramas and is widely regarded as one of the most influential writers in mid-20th-century film and television.
  • E. Lawrence Turman
    Lawrence Turman is an American film producer best known for his work on influential Hollywood films and for his long career shaping and mentoring talent in the movie industry.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96147f49c8190b701e1e27e207a95 completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66873706c8190a9908d1a8629b1c5 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:16 p.m.