Triple

T3860221
Position Surface form Disambiguated ID Type / Status
Subject The Impossible E90115 entity
Predicate productionCompany P490 FINISHED
Object Telecinco Cinema E394551 NE 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: Telecinco Cinema | Statement: [The Impossible, productionCompany, Telecinco Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telecinco Cinema
Context triple: [The Impossible, productionCompany, Telecinco Cinema]
  • A. Telecinco Cinema chosen
    Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
  • B. 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.
  • C. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • D. Telcel Theatre
    Telcel Theatre is a modern performing arts venue in Mexico City’s Nuevo Polanco district, known for hosting large-scale musicals, concerts, and cultural events.
  • E. Rex Cinema
    Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c7d99208190baee9830cc448eee completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.