Triple

T14514224
Position Surface form Disambiguated ID Type / Status
Subject El ángel exterminador E340475 entity
Predicate distributor P1951 FINISHED
Object Cinematográfica Pelimex
Cinematográfica Pelimex is a Mexican film distribution company known for handling releases of notable national and international films.
E1103300 NE FINISHED

How this triple was built (4 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: Cinematográfica Pelimex | Statement: [El ángel exterminador, distributor, Cinematográfica Pelimex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinematográfica Pelimex
Context triple: [El ángel exterminador, distributor, Cinematográfica Pelimex]
  • A. Riama Film
    Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
  • B. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • C. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • D. Canana Films
    Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
  • E. Xingu Films
    Xingu Films is a film production company known for producing independent and art-house cinema, including the movie "Moon."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cinematográfica Pelimex
Triple: [El ángel exterminador, distributor, Cinematográfica Pelimex]
Generated description
Cinematográfica Pelimex is a Mexican film distribution company known for handling releases of notable national and international films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cinematográfica Pelimex
Target entity description: Cinematográfica Pelimex is a Mexican film distribution company known for handling releases of notable national and international films.
  • A. Riama Film
    Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
  • B. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • C. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • D. Canana Films
    Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
  • E. Xingu Films
    Xingu Films is a film production company known for producing independent and art-house cinema, including the movie "Moon."
  • F. None of above. chosen

Provenance (5 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da64db881909a4f88d18031cb0c completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6f82453481909a3e1b032f30a7a5 completed May 8, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd708521c881909863b7cd3fc4a313 completed May 8, 2026, 5:11 a.m.
Created at: April 10, 2026, 1:21 a.m.