Triple

T8329530
Position Surface form Disambiguated ID Type / Status
Subject A Double Life E195039 entity
Predicate character P662 FINISHED
Object Brita
Brita is a fictional character from the film "A Double Life," contributing to the drama’s exploration of identity and psychological turmoil.
 E725339 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: Brita | Statement: [A Double Life, character, Brita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brita
Context triple: [A Double Life, character, Brita]
  • A. Britta
    Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • B. Keurig
    Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
  • C. Volvic
    Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
  • D. Smartwater
    Smartwater is a popular premium bottled water brand known for its vapor-distilled water with added electrolytes for taste, marketed as a clean, crisp hydration option.
  • E. Dasani
    Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
  • 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: Brita
Triple: [A Double Life, character, Brita]
Generated description
Brita is a fictional character from the film "A Double Life," contributing to the drama’s exploration of identity and psychological turmoil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brita
Target entity description: Brita is a fictional character from the film "A Double Life," contributing to the drama’s exploration of identity and psychological turmoil.
  • A. Britta
    Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • B. Keurig
    Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
  • C. Volvic
    Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
  • D. Smartwater
    Smartwater is a popular premium bottled water brand known for its vapor-distilled water with added electrolytes for taste, marketed as a clean, crisp hydration option.
  • E. Dasani
    Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95c2c36481909793e9cd0c28168a completed April 1, 2026, 10:01 p.m.
NEDg Description generation batch_69cdab60ec308190a9001f9235e556b4 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2e3457c8190a2d0cb6eeb81c9ef completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:56 p.m.