Triple

T19808260
Position Surface form Disambiguated ID Type / Status
Subject Henry Berliner E475872 entity
Predicate founded P104 FINISHED
Object Berliner Aircraft Company — NE NERFINISHED

How this triple was built (3 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: Berliner Aircraft Company | Statement: [Henry Berliner, founded, Berliner Aircraft Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berliner Aircraft Company
Context triple: [Henry Berliner, founded, Berliner Aircraft Company]
  • A. Albatros Flugzeugwerke
    Albatros Flugzeugwerke was a German aircraft manufacturer best known for producing several important fighter planes for the German air service during World War I.
  • B. Bayerische Flugzeugwerke
    Bayerische Flugzeugwerke was a German aircraft manufacturer that became known as the predecessor to Messerschmitt AG, producing several notable military aircraft in the interwar and World War II periods.
  • C. Hamburger Flugzeugbau
    Hamburger Flugzeugbau was a German aircraft manufacturer based in Hamburg, known for designing and producing civil and military airplanes before becoming part of larger aerospace conglomerates.
  • D. Dornier Flugzeugwerke
    Dornier Flugzeugwerke was a German aircraft manufacturer best known for producing military aircraft for the Luftwaffe before and during World War II.
  • E. Ernst Heinkel Flugzeugwerke
    Ernst Heinkel Flugzeugwerke was a German aircraft manufacturing company best known for producing military aircraft for the Luftwaffe before and during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berliner Aircraft Company
Target entity description: Berliner Aircraft Company was an early 20th-century American aviation firm known for its experimental work in helicopter and vertical flight development.
  • A. Albatros Flugzeugwerke
    Albatros Flugzeugwerke was a German aircraft manufacturer best known for producing several important fighter planes for the German air service during World War I.
  • B. Bayerische Flugzeugwerke
    Bayerische Flugzeugwerke was a German aircraft manufacturer that became known as the predecessor to Messerschmitt AG, producing several notable military aircraft in the interwar and World War II periods.
  • C. Hamburger Flugzeugbau
    Hamburger Flugzeugbau was a German aircraft manufacturer based in Hamburg, known for designing and producing civil and military airplanes before becoming part of larger aerospace conglomerates.
  • D. Dornier Flugzeugwerke
    Dornier Flugzeugwerke was a German aircraft manufacturer best known for producing military aircraft for the Luftwaffe before and during World War II.
  • E. Ernst Heinkel Flugzeugwerke
    Ernst Heinkel Flugzeugwerke was a German aircraft manufacturing company best known for producing military aircraft for the Luftwaffe before and during World War II.
  • F. None of above. chosen

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65429fec8819091e20908101b50eb completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.