Triple

T6730842
Position Surface form Disambiguated ID Type / Status
Subject Airborne (1993 film) E153628 entity
Predicate mainCharacter P1183 FINISHED
Object Blaine
Blaine is the laid-back, surfing-obsessed teenage protagonist of the 1993 comedy film "Airborne," known for his inline skating skills and culture clash after moving from California to Cincinnati.
 E615973 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: Blaine | Statement: [Airborne (1993 film), mainCharacter, Blaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blaine
Context triple: [Airborne (1993 film), mainCharacter, Blaine]
  • A. Blaine
    Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
  • B. Blaine
    Blaine is a surname most notably associated with James G. Blaine, a prominent 19th-century American statesman and politician.
  • C. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • D. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • E. Addison
    Addison is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • 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: Blaine
Triple: [Airborne (1993 film), mainCharacter, Blaine]
Generated description
Blaine is the laid-back, surfing-obsessed teenage protagonist of the 1993 comedy film "Airborne," known for his inline skating skills and culture clash after moving from California to Cincinnati.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blaine
Target entity description: Blaine is the laid-back, surfing-obsessed teenage protagonist of the 1993 comedy film "Airborne," known for his inline skating skills and culture clash after moving from California to Cincinnati.
  • A. Blaine
    Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
  • B. Blaine
    Blaine is a surname most notably associated with James G. Blaine, a prominent 19th-century American statesman and politician.
  • C. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • D. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • E. Addison
    Addison is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b029960819090de37c99e80ceb9 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bf3e2fc8190bc5d044b890ddc02 completed March 27, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c70cece560819099b488a95a3c79c5 completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:09 p.m.