Triple

T15276319
Position Surface form Disambiguated ID Type / Status
Subject Henry Folland E365149 entity
Predicate employer P7 FINISHED
Object Folland Aircraft E118975 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: Folland Aircraft | Statement: [Henry Folland, employer, Folland Aircraft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Folland Aircraft
Context triple: [Henry Folland, employer, Folland Aircraft]
  • A. Folland Aircraft chosen
    Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
  • B. Swearingen Aircraft
    Swearingen Aircraft was an American aircraft manufacturer best known for producing small commuter and business aircraft, including the Metroliner series.
  • C. Hawker Aircraft
    Hawker Aircraft was a prominent British aircraft manufacturer best known for producing iconic military planes such as the Hawker Hurricane during the early to mid-20th century.
  • D. 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.
  • E. Fairchild Aircraft
    Fairchild Aircraft was an American aerospace company known for producing military and civilian aircraft, including notable transport and trainer planes throughout the mid-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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7186d481909067f8088f3ea497 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.