Triple

T14443133
Position Surface form Disambiguated ID Type / Status
Subject Carl Ben Eielson E358134 entity
Predicate employer P7 FINISHED
Object Alaska Airways E20454 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: Alaska Airways | Statement: [Carl Ben Eielson, employer, Alaska Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaska Airways
Context triple: [Carl Ben Eielson, employer, Alaska Airways]
  • A. Alaska Airlines chosen
    Alaska Airlines is a major American airline based in Seattle, known for its extensive route network along the West Coast and to Alaska, Hawaii, and beyond.
  • B. Aloha Airlines
    Aloha Airlines was a former Hawaiian airline that primarily operated inter-island and West Coast U.S. flights before ceasing operations in 2008.
  • C. Atlantic Airways
    Atlantic Airways is the national airline of the Faroe Islands, operating domestic helicopter services and international flights primarily within Europe.
  • D. Virgin America
    Virgin America was a U.S.-based low-cost airline known for its stylish, tech-friendly in-flight experience and West Coast–focused route network.
  • E. Norse Atlantic Airways
    Norse Atlantic Airways is a low-cost, long-haul airline based in Norway that operates transatlantic flights between Europe and North America.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdd0f388190870ddd01f66d3e99 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.