Triple

T20140226
Position Surface form Disambiguated ID Type / Status
Subject Mrs. America E491143 entity
Predicate productionCompany P490 FINISHED
Object FX Productions 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: FX Productions | Statement: [Mrs. America, productionCompany, FX Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX Productions
Context triple: [Mrs. America, productionCompany, FX Productions]
  • A. FX Productions chosen
    FX Productions is a television production company best known for creating and producing acclaimed FX Network series such as Sons of Anarchy and other high-profile cable dramas and comedies.
  • B. FR Productions
    FR Productions is a film production company known for working on projects such as Sofia Coppola’s 2017 drama "The Beguiled."
  • C. Feature Productions
    Feature Productions was a film production company active during the silent film era, known for producing movies such as "The Son of the Sheik."
  • D. Forge Productions
    Forge Productions is a film production company best known for its involvement in the big-budget 1995 pirate adventure movie "Cutthroat Island."
  • E. Beyond Productions
    Beyond Productions is an Australian television production company best known for creating and producing the popular science-entertainment series MythBusters.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.