Triple

T20394135
Position Surface form Disambiguated ID Type / Status
Subject Dragged Across Concrete E500155 entity
Predicate productionCompany P490 FINISHED
Object Cinestate 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: Cinestate | Statement: [Dragged Across Concrete, productionCompany, Cinestate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinestate
Context triple: [Dragged Across Concrete, productionCompany, Cinestate]
  • A. Cinestate chosen
    Cinestate was an American film production company known for producing genre-driven, often violent and politically provocative independent movies.
  • B. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • C. CinéCinéma
    CinéCinéma is a French television network and film production entity known for supporting and broadcasting a wide range of French and international cinema.
  • D. Eros Cinema
    Eros Cinema is a historic Art Deco movie theater and landmark in Mumbai, India, known for its distinctive architecture and cultural significance.
  • E. 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.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e679122058819083e3615a5ea0a82e completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.