Triple

T4042451
Position Surface form Disambiguated ID Type / Status
Subject Kristen E83981 entity
Predicate workDirector P32895 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: [Kristen, workDirector, Tim Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Story
Context triple: [Kristen, workDirector, 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. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • D. 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."
  • E. Martin Brest
    Martin Brest is an American film director, screenwriter, and producer best known for popular hits like "Beverly Hills Cop," "Midnight Run," and "Scent of a Woman."
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5b65c08190ba3f340ed18737f8 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564d0fb881909ba645714be27b95 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.