Triple

T20359095
Position Surface form Disambiguated ID Type / Status
Subject Durante la tormenta E496727 entity
Predicate productionCompany P490 FINISHED
Object Atresmedia Cine 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: Atresmedia Cine | Statement: [Durante la tormenta, productionCompany, Atresmedia Cine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atresmedia Cine
Context triple: [Durante la tormenta, productionCompany, Atresmedia Cine]
  • A. Atresmedia Cine chosen
    Atresmedia Cine is a Spanish film production company known for producing a wide range of contemporary Spanish-language movies.
  • B. Telecinco Cinema
    Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
  • C. Filmways
    Filmways was an American television and film production company best known for creating and producing popular mid-20th-century TV series and movies.
  • D. Yara Cinema
    Yara Cinema is a prominent and historic movie theater in Havana, Cuba, known as a cultural landmark and popular gathering place in the Vedado district.
  • E. Granada Film
    Granada Film is a British film production company known for producing feature films and television dramas, including adaptations of notable literary works.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678573fc481908bf257e6ed41d750 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.