Triple

T13933560
Position Surface form Disambiguated ID Type / Status
Subject Traffik E335050 entity
Predicate mainCharacter P1183 FINISHED
Object Brea
Brea is the protagonist of the 2018 thriller film "Traffik," a woman who becomes entangled in a dangerous human-trafficking ring during a romantic getaway.
 E1081972 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: Brea | Statement: [Traffik, mainCharacter, Brea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brea
Context triple: [Traffik, mainCharacter, Brea]
  • A. Brea, California
    Brea, California is a suburban city in northern Orange County known for its shopping centers, public art program, and residential communities.
  • B. Redlands
    Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
  • C. Glendora
    Glendora is a suburban city in Los Angeles County, California, known for its scenic foothill setting, residential neighborhoods, and historic downtown.
  • D. Glendora
    Glendora is an unincorporated community and census-designated place located within Gloucester Township in Camden County, New Jersey.
  • E. Camarillo
    Camarillo is a suburban city in Southern California known for its mild climate, outlet shopping, and proximity to the Pacific coast.
  • 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: Brea
Triple: [Traffik, mainCharacter, Brea]
Generated description
Brea is the protagonist of the 2018 thriller film "Traffik," a woman who becomes entangled in a dangerous human-trafficking ring during a romantic getaway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brea
Target entity description: Brea is the protagonist of the 2018 thriller film "Traffik," a woman who becomes entangled in a dangerous human-trafficking ring during a romantic getaway.
  • A. Brea, California
    Brea, California is a suburban city in northern Orange County known for its shopping centers, public art program, and residential communities.
  • B. Redlands
    Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
  • C. Glendora
    Glendora is a suburban city in Los Angeles County, California, known for its scenic foothill setting, residential neighborhoods, and historic downtown.
  • D. Glendora
    Glendora is an unincorporated community and census-designated place located within Gloucester Township in Camden County, New Jersey.
  • E. Camarillo
    Camarillo is a suburban city in Southern California known for its mild climate, outlet shopping, and proximity to the Pacific coast.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdef1e4608190a137f340e06d5ddb completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce5502b288190b0949c3862d1701e completed May 7, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69fce5c4027081909a69abb8d87c9b65 completed May 7, 2026, 7:19 p.m.
Created at: April 9, 2026, 10:17 p.m.