Triple

T19521451
Position Surface form Disambiguated ID Type / Status
Subject How She Move E488409 entity
Predicate productionCompany P490 FINISHED
Object Sienna Films
Sienna Films is a Canadian film and television production company known for producing acclaimed independent features and high-quality scripted series.
 E1380307 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: Sienna Films | Statement: [How She Move, productionCompany, Sienna Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sienna Films
Context triple: [How She Move, productionCompany, Sienna Films]
  • A. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • B. Scion Films
    Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
  • 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. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • E. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • 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: Sienna Films
Triple: [How She Move, productionCompany, Sienna Films]
Generated description
Sienna Films is a Canadian film and television production company known for producing acclaimed independent features and high-quality scripted series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sienna Films
Target entity description: Sienna Films is a Canadian film and television production company known for producing acclaimed independent features and high-quality scripted series.
  • A. Rhea Films
    Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
  • B. Scion Films
    Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
  • 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. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • E. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472af0b881909e5bada0955b52bb completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0747f6b1d48190a3e70576ddb4feb2 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:40 p.m.