Triple

T12436807
Position Surface form Disambiguated ID Type / Status
Subject Marrowbone E297163 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: [Marrowbone, productionCompany, Telecinco Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telecinco Cinema
Context triple: [Marrowbone, 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. Rio Cinema
    Rio Cinema is a historic independent movie theater in the Dalston area of London, known for its art deco architecture and diverse film programming.
  • D. Cinemastar
    Cinemastar is a line of hard disk drives produced by HGST, typically designed for consumer and multimedia applications.
  • E. 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.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.