Triple

T21899545
Position Surface form Disambiguated ID Type / Status
Subject The Blackening E540770 entity
Predicate producer P490 FINISHED
Object Tim Story 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: Tim Story | Statement: [The Blackening, producer, Tim Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Story
Context triple: [The Blackening, producer, Tim Story]
  • A. Tim Story
    Tim Story is an American composer and musician known for his atmospheric, minimalist, and ambient works, including collaborations with the Celtic-tinged ensemble Nightnoise.
  • B. Tim Story chosen
    Tim Story is an American film director and producer best known for helming commercially successful comedies and blockbuster franchises such as the "Barbershop" series and the "Fantastic Four" films.
  • C. Blake Snyder
    Blake Snyder was an American screenwriter and influential author of the screenwriting guide "Save the Cat!", known for popularizing a widely used story-structure method in Hollywood.
  • D. Jayden Kwapis
    Jayden Kwapis is a fictional character from the American television comedy series "Mr. Mayor."
  • E. Ken Turkin
    Ken Turkin is a musician best known as a member of the American garage rock band The Shadows of Knight.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.