Triple

T12768199
Position Surface form Disambiguated ID Type / Status
Subject Romeo & Juliet (2013 film) E305178 entity
Predicate productionCompany P490 FINISHED
Object Swaka Films
Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
E1002574 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: Swaka Films | Statement: [Romeo & Juliet (2013 film), productionCompany, Swaka Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swaka Films
Context triple: [Romeo & Juliet (2013 film), productionCompany, Swaka Films]
  • A. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • B. Misher Films
    Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
  • C. Mavin Films
    Mavin Films is the film and visual content production arm associated with Nigerian music label Mavin Records.
  • D. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • E. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • 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: Swaka Films
Triple: [Romeo & Juliet (2013 film), productionCompany, Swaka Films]
Generated description
Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swaka Films
Target entity description: Swaka Films is a film production company known for producing the 2013 adaptation of "Romeo & Juliet."
  • A. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • B. Misher Films
    Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
  • C. Mavin Films
    Mavin Films is the film and visual content production arm associated with Nigerian music label Mavin Records.
  • D. Athos Films
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • E. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f750a08190abf6122baa579bc4 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6890782c48190ae93866cf39b1c25 completed May 2, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69f68976b60881908abf5b69b8c37e6e completed May 2, 2026, 11:32 p.m.
Created at: April 9, 2026, 5:28 p.m.