Triple

T21119032
Position Surface form Disambiguated ID Type / Status
Subject Elrey Borge Jeppesen E520375 entity
Predicate employer P7 FINISHED
Object Boeing Air Transport NE NERFINISHED

How this triple was built (2 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: Boeing Air Transport | Statement: [Elrey Borge Jeppesen, employer, Boeing Air Transport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing Air Transport
Context triple: [Elrey Borge Jeppesen, employer, Boeing Air Transport]
  • A. Boeing Air Transport chosen
    Boeing Air Transport was an early American airline and a predecessor of United Airlines that operated mail and passenger services in the late 1920s and early 1930s.
  • B. Pan American World Airways
    Pan American World Airways was a pioneering and iconic American international airline that helped popularize long-haul jet travel in the mid-20th century.
  • C. Union Airways
    Union Airways was an early South African airline that later became part of the national carrier, South African Airways.
  • D. Civil Air Transport
    Civil Air Transport was a post–World War II Chinese airline closely linked to U.S. intelligence operations that evolved into a key air transport asset for the CIA in Asia.
  • E. Texas Air Corporation
    Texas Air Corporation was a major U.S. airline holding company in the 1980s, known for its aggressive expansion and cost-cutting strategies in the deregulated airline industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223176c48190bfbaea41c2209a15 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.