Triple

T4510093
Position Surface form Disambiguated ID Type / Status
Subject Ellen Church E102029 entity
Predicate employer P7 FINISHED
Object Boeing Air Transport E314459 NE FINISHED

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: [Ellen Church, employer, Boeing Air Transport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing Air Transport
Context triple: [Ellen Church, 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. Douglas Aircraft Company
    Douglas Aircraft Company was a major American aerospace manufacturer known for producing influential military and commercial aircraft throughout much of the 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5712b9308190876c117b50d12635 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f814dd081908b07ce0c2abee3c1 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.