Triple

T20339489
Position Surface form Disambiguated ID Type / Status
Subject Ecstasy (1933 film) E495700 entity
Predicate productionCompany P490 FINISHED
Object Elektafilm 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: Elektafilm | Statement: [Ecstasy (1933 film), productionCompany, Elektafilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elektafilm
Context triple: [Ecstasy (1933 film), productionCompany, Elektafilm]
  • A. Elektafilm chosen
    Elektafilm was a Czechoslovak film production company active in the early 20th century, known for producing notable works of the country’s interwar cinema.
  • B. Lea Film
    Lea Film was an Italian film production company active during the mid-20th century, known for contributing to genre cinema including giallo and thriller films.
  • C. Vides Cinematografica
    Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
  • D. Eegah
    Eegah is a 1962 low-budget American horror film about a giant caveman terrorizing modern-day teenagers, best known for starring Richard Kiel in the title role and for its later cult status.
  • E. Galatea Film
    Galatea Film is an Italian film production company known for backing genre and horror movies, including works by director Mario Bava.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678342a0081908ede8006eb5506a3 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:23 a.m.