Triple

T13694153
Position Surface form Disambiguated ID Type / Status
Subject Barbershop E328341 entity
Predicate director P255 FINISHED
Object Tim Story E65276 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: Tim Story | Statement: [Barbershop, director, Tim Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Story
Context triple: [Barbershop, director, Tim Story]
  • A. 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.
  • B. 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.
  • C. Mark Steven Johnson
    Mark Steven Johnson is an American screenwriter and director best known for writing and directing films such as "Grumpy Old Men," "Daredevil," and "Ghost Rider."
  • D. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • E. Roger Spottiswoode
    Roger Spottiswoode is a British-Canadian film director and editor known for directing a range of Hollywood features, including the James Bond film "Tomorrow Never Dies."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b063661481908da569084c20f37c completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:54 p.m.