Triple

T14053696
Position Surface form Disambiguated ID Type / Status
Subject The Donna Reed Show E338156 entity
Predicate productionCompany P490 FINISHED
Object Screen Gems E65277 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: Screen Gems | Statement: [The Donna Reed Show, productionCompany, Screen Gems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Screen Gems
Context triple: [The Donna Reed Show, productionCompany, 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. 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.
  • C. 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.
  • D. Flix
    Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
  • E. Electric Pictures
    Electric Pictures is a film and television production company known for its work on the feature film "Hotel Mumbai."
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb648146c8190842a3da4e4c0e217 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 10:20 p.m.