Triple

T21869537
Position Surface form Disambiguated ID Type / Status
Subject Burning E539965 entity
Predicate distributor P1951 FINISHED
Object CGV Arthouse 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: CGV Arthouse | Statement: [Burning, distributor, CGV Arthouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGV Arthouse
Context triple: [Burning, distributor, CGV Arthouse]
  • A. Multikino
    Multikino is a major Polish multiplex cinema chain operating modern movie theaters across numerous cities in Poland and parts of Europe.
  • B. Showroom Cinema
    Showroom Cinema is a renowned independent cinema and cultural venue in Sheffield, England, known for screening arthouse and world films and hosting film festivals and events.
  • C. Eros Cinema
    Eros Cinema is a historic Art Deco movie theater and landmark in Mumbai, India, known for its distinctive architecture and cultural significance.
  • D. CJ CGV (through CJ 4DPLEX) chosen
    CJ CGV, through its subsidiary CJ 4DPLEX, is a South Korean cinema company known for pioneering immersive 4DX movie theater technology worldwide.
  • E. VOX Cinemas
    VOX Cinemas is a major cinema chain in the Middle East known for operating multiplex theaters with premium and immersive movie experiences across numerous shopping malls.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f334362c819094af465ee57b47e6 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.