Triple

T18698385
Position Surface form Disambiguated ID Type / Status
Subject The Eyes of Tammy Faye E457180 entity
Predicate productionCompany P490 FINISHED
Object Freckle Films 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: Freckle Films | Statement: [The Eyes of Tammy Faye, productionCompany, Freckle Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freckle Films
Context triple: [The Eyes of Tammy Faye, productionCompany, Freckle Films]
  • A. Freckle Films chosen
    Freckle Films is a film and television production company founded by actress Jessica Chastain, known for developing female-driven and socially conscious projects.
  • B. Figment Films
    Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
  • C. Figment Films
    Figment Films is a film production company known for producing the 1997 romantic black comedy "A Life Less Ordinary," directed by Danny Boyle.
  • D. Figment Films
    Figment Films is a British film production company best known for producing the influential 1996 drama "Trainspotting."
  • E. Figment Films
    Figment Films is a film production company known for producing the dark comedy crime film "Twin Town."
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e984988190ae902d41edd8faff completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.