Triple

T21134473
Position Surface form Disambiguated ID Type / Status
Subject Mr. Blue E520778 entity
Predicate createdBy P806 FINISHED
Object Morton Freedgood 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: Morton Freedgood | Statement: [Mr. Blue, createdBy, Morton Freedgood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton Freedgood
Context triple: [Mr. Blue, createdBy, Morton Freedgood]
  • A. Morton Freedgood chosen
    Morton Freedgood was an American novelist best known for writing crime and thriller fiction under the pen name John Godey, including "The Taking of Pelham One Two Three."
  • B. Art Cohn
    Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
  • C. Melville Shavelson
    Melville Shavelson was an American film director, screenwriter, and producer best known for his work on mid-20th-century Hollywood comedies and dramas.
  • D. George Shinn
    George Shinn is an American businessman best known as the former owner of the NBA’s Charlotte Hornets and other Charlotte-based professional sports franchises.
  • E. Nathaniel Shilkret
    Nathaniel Shilkret was an American composer, conductor, and music director prominent in early Hollywood and radio, known for his extensive work in film scores and popular recordings in the first half of the 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723592fd48190ba5977a1b229d51e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.