Triple

T15806074
Position Surface form Disambiguated ID Type / Status
Subject Luther Adler E383219 entity
Predicate name P16 FINISHED
Object Luther Adler 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: Luther Adler | Statement: [Luther Adler, name, Luther Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luther Adler
Context triple: [Luther Adler, name, Luther Adler]
  • A. Luther Adler chosen
    Luther Adler was an American stage and film actor and director associated with the development of method acting and influential mid-20th-century theater in the United States.
  • B. Arthur Simon Flegenheimer
    Arthur Simon Flegenheimer, better known as Dutch Schultz, was a notorious New York City mobster and bootlegger during the Prohibition era.
  • C. Herman Cohen
    Herman Cohen was an American film producer best known for his low-budget horror and exploitation films of the 1950s and 1960s.
  • D. Leo Löwenthal
    Leo Löwenthal was a German sociologist and literary critic associated with the Frankfurt School, known for his analyses of mass culture, literature, and the sociology of intellectuals.
  • E. Leo Friedlander
    Leo Friedlander was an American sculptor known for his large-scale public monuments and architectural sculpture, particularly in the mid-20th century.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
Created at: April 10, 2026, 4:48 a.m.