Triple

T15689690
Position Surface form Disambiguated ID Type / Status
Subject La Classe Américaine E380293 entity
Predicate hasCultScreenings P67480 FINISHED
Object midnight screenings and special events LITERAL 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: midnight screenings and special events | Statement: [La Classe Américaine, hasCultScreenings, midnight screenings and special events]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCultScreenings
Context triple: [La Classe Américaine, hasCultScreenings, midnight screenings and special events]
  • A. hasFilmScreenings chosen
    Indicates that a film is scheduled to be shown at one or more specific screenings or venues.
  • B. hasCultFilmStatus
    Indicates that a film has achieved cult status, typically through a dedicated, passionate fanbase despite limited or non-mainstream popularity.
  • C. hasFilmFestival
    Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
  • D. hasCultSince
    Indicates that an entity has had an organized group of devoted followers (a cult) continuously since a specified time or date.
  • E. hasCultFeature
    Indicates that an entity possesses a characteristic, attribute, or element associated with cultic or ritual practices.
  • F. None of above.

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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69deda8c856c8190882330114f9a1a5f completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:44 a.m.