Triple

T22546520
Position Surface form Disambiguated ID Type / Status
Subject Scene of the Crime E557442 entity
Predicate editor P1954 FINISHED
Object Albert Akst 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: Albert Akst | Statement: [Scene of the Crime, editor, Albert Akst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Akst
Context triple: [Scene of the Crime, editor, Albert Akst]
  • A. Albert Akst chosen
    Albert Akst was an American film editor known for his work on numerous Hollywood productions, particularly musicals, during the mid-20th century.
  • B. Harry Akst
    Harry Akst was an American songwriter and pianist best known for composing popular standards during the early 20th-century Tin Pan Alley era.
  • C. Paul Kohner
    Paul Kohner was a prominent Hollywood talent agent and film producer who represented major European and American stars during the mid-20th century.
  • D. Paul Schuster
    Paul Schuster is a musician best known as a member of the indie rock band Some Velvet Sidewalk, associated with the Pacific Northwest underground music scene.
  • E. Paul Graetz
    Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.