Triple

T22300740
Position Surface form Disambiguated ID Type / Status
Subject Walter H. Beech E551246 entity
Predicate associatedWithBrand P2830 FINISHED
Object Beechcraft 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: Beechcraft | Statement: [Walter H. Beech, associatedWithBrand, Beechcraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beechcraft
Context triple: [Walter H. Beech, associatedWithBrand, Beechcraft]
  • A. Beechcraft chosen
    Beechcraft is an American aircraft manufacturer known for producing a wide range of civil and military airplanes, including popular training, business, and utility aircraft.
  • B. Cessna
    Cessna is an American aircraft manufacturer best known for producing popular general aviation airplanes, including light single-engine models and utility aircraft.
  • C. Beechcraft Sierra
    The Beechcraft Sierra is a light, single-engine, low-wing general aviation aircraft known for its retractable landing gear and use in personal and training flying.
  • D. Swearingen Aircraft
    Swearingen Aircraft was an American aircraft manufacturer best known for producing small commuter and business aircraft, including the Metroliner series.
  • E. Piper Aircraft
    Piper Aircraft is an American general aviation manufacturer best known for producing a wide range of popular light aircraft for personal, training, and business use.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572399148190853c4e91fcf9f38c completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.