Triple

T13338562
Position Surface form Disambiguated ID Type / Status
Subject The Dark Corner E317761 entity
Predicate screenwriter P2831 FINISHED
Object Jay Dratler E319636 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: Jay Dratler | Statement: [The Dark Corner, screenwriter, Jay Dratler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Dratler
Context triple: [The Dark Corner, screenwriter, Jay Dratler]
  • A. Jay Dratler chosen
    Jay Dratler was an American screenwriter and novelist known for his work on mid-20th-century film noir and mystery stories.
  • B. Fred Draper
    Fred Draper was an American character actor best known for his frequent collaborations with director John Cassavetes in several influential independent films.
  • C. Timothy Drury
    Timothy Drury is an American keyboardist, guitarist, and songwriter best known for his work with rock bands such as the Eagles and Whitesnake.
  • D. Simon Draper
    Simon Draper is a British music executive best known for his pivotal role in building Virgin Records into a major international record label and for signing several influential artists.
  • E. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3bb06c8190beaf6dfbba9ff613 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.