Triple

T21106113
Position Surface form Disambiguated ID Type / Status
Subject Frank Tashlin E520046 entity
Predicate employer P7 FINISHED
Object Screen Gems 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: Screen Gems | Statement: [Frank Tashlin, employer, Screen Gems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Screen Gems
Context triple: [Frank Tashlin, employer, Screen Gems]
  • A. Screen Gems chosen
    Screen Gems is an American film production and distribution company, and a division of Sony Pictures Entertainment, known for releasing a variety of mid-budget genre and commercial films.
  • B. Screen Classics
    Screen Classics was a mid-20th-century American film production company associated with low-budget genre pictures, including Ed Wood’s cult film "Glen or Glenda."
  • C. IGN Movies
    IGN Movies is a film-focused division of IGN that provides movie news, reviews, trailers, and related entertainment coverage.
  • D. Film Vault
    Film Vault is a themed retail shop at Universal Studios Florida that sells movie-related merchandise inspired by classic and popular Universal films.
  • E. Flix
    Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b62301c819082cfc6cb3cd11c8c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.