Triple

T22581458
Position Surface form Disambiguated ID Type / Status
Subject Accattone E544577 entity
Predicate distributor P1951 FINISHED
Object Cineriz 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: Cineriz | Statement: [Accattone, distributor, Cineriz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cineriz
Context triple: [Accattone, distributor, Cineriz]
  • A. Cineriz chosen
    Cineriz was an Italian film production and distribution company known for handling prominent auteur films during the mid-20th century.
  • B. Cyanika
    Cyanika is a town in northern Rwanda that serves as the administrative center of Burera District.
  • C. Cenere
    Cenere is a 1916 Italian silent drama film, notable for starring celebrated actress Eleonora Duse in one of her rare screen appearances.
  • D. Ocinara
    Ocinara is a genus of moths belonging to the silkworm moth family Bombycidae.
  • E. Scintillo
    Scintillo is a character associated with the Fantastic Light universe, known primarily as the child of the powerful entity Fantastic Light.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff13e288190b5e4b527470be75e completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.