Triple

T12187346
Position Surface form Disambiguated ID Type / Status
Subject Smithsonian Channel E290366 entity
Predicate notableSeries P3199 FINISHED
Object Aerial America
Aerial America is a documentary television series that showcases sweeping aerial views and cultural histories of U.S. states and regions.
 E967790 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: Aerial America | Statement: [Smithsonian Channel, notableSeries, Aerial America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aerial America
Context triple: [Smithsonian Channel, notableSeries, Aerial America]
  • A. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • B. Northern Air
    Northern Air is a regional airline based in Fiji that operates domestic flights connecting smaller islands and remote communities.
  • C. Tʼway Air
    Tʼway Air is a South Korean low-cost airline operating domestic and international routes across Asia and the Pacific.
  • D. Eagle Airways
    Eagle Airways was a British airline that operated regional and charter passenger services in the mid-20th century.
  • E. Western Air Express
    Western Air Express was an early American airline that operated passenger and mail services in the western United States during the late 1920s and 1930s.
  • 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: Aerial America
Triple: [Smithsonian Channel, notableSeries, Aerial America]
Generated description
Aerial America is a documentary television series that showcases sweeping aerial views and cultural histories of U.S. states and regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aerial America
Target entity description: Aerial America is a documentary television series that showcases sweeping aerial views and cultural histories of U.S. states and regions.
  • A. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • B. Northern Air
    Northern Air is a regional airline based in Fiji that operates domestic flights connecting smaller islands and remote communities.
  • C. Tʼway Air
    Tʼway Air is a South Korean low-cost airline operating domestic and international routes across Asia and the Pacific.
  • D. Eagle Airways
    Eagle Airways was a British airline that operated regional and charter passenger services in the mid-20th century.
  • E. Western Air Express
    Western Air Express was an early American airline that operated passenger and mail services in the western United States during the late 1920s and 1930s.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b0a84c8190ae593e368c13b5a5 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.