Triple

T6538664
Position Surface form Disambiguated ID Type / Status
Subject Laura (film) E168229 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: [Laura (film), screenwriter, Jay Dratler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Dratler
Context triple: [Laura (film), 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. 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.
  • C. 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.
  • D. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • E. David Burrows
    David Burrows is a film editor best known for his work on major animated features, including The Lego Movie.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add4b7f881909e485325c353f51c completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5389fac8190bbad946de79d6086 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:49 p.m.