Triple

T22090232
Position Surface form Disambiguated ID Type / Status
Subject The School for Good and Evil E545893 entity
Predicate producer P490 FINISHED
Object Paul Feig 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: Paul Feig | Statement: [The School for Good and Evil, producer, Paul Feig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Feig
Context triple: [The School for Good and Evil, producer, Paul Feig]
  • A. Paul Feig chosen
    Paul Feig is an American filmmaker, producer, and actor best known for directing hit comedies such as "Bridesmaids" and creating the cult TV series "Freaks and Geeks."
  • B. Paul Feigay
    Paul Feigay is a theatrical producer known for his work on the classic Broadway musical "On the Town."
  • C. Lorene Scafaria
    Lorene Scafaria is an American filmmaker, screenwriter, playwright, actress, and singer best known for writing and directing character-driven films such as "Seeking a Friend for the End of the World" and the crime drama "Hustlers."
  • D. Carol Holofcener
    Carol Holofcener is the mother of American film director and screenwriter Nicole Holofcener.
  • E. Anna Boden
    Anna Boden is an American filmmaker best known for co-directing the Marvel Studios superhero film "Captain Marvel" and for her long-time creative partnership with Ryan Fleck on independent dramas.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e53dfc81909858cdad8b09c5fb completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.