Triple

T8475517
Position Surface form Disambiguated ID Type / Status
Subject Bert Hinkler E200380 entity
Predicate aircraftUsed P1524 FINISHED
Object Avro Avian
The Avro Avian was a British light biplane of the 1920s and 1930s, widely used for long-distance and record-breaking flights.
E737871 NE FINISHED

How this triple was built (4 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: Avro Avian | Statement: [Bert Hinkler, aircraftUsed, Avro Avian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avro Avian
Context triple: [Bert Hinkler, aircraftUsed, Avro Avian]
  • A. Avro Athena
    The Avro Athena was a British postwar advanced trainer aircraft developed by Avro for the Royal Air Force.
  • B. Avro 652A
    The Avro 652A is a British twin-engined, low-wing monoplane developed in the 1930s that became widely known in its military form as the Avro Anson, used extensively for training and coastal reconnaissance.
  • C. Avro Type 698
    Avro Type 698 was the experimental jet-powered delta-wing bomber prototype that led to the development of the British Avro Vulcan strategic bomber.
  • D. Avro
    Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
  • E. Avro
    Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Avro Avian
Triple: [Bert Hinkler, aircraftUsed, Avro Avian]
Generated description
The Avro Avian was a British light biplane of the 1920s and 1930s, widely used for long-distance and record-breaking flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avro Avian
Target entity description: The Avro Avian was a British light biplane of the 1920s and 1930s, widely used for long-distance and record-breaking flights.
  • A. Avro Athena
    The Avro Athena was a British postwar advanced trainer aircraft developed by Avro for the Royal Air Force.
  • B. Avro 652A
    The Avro 652A is a British twin-engined, low-wing monoplane developed in the 1930s that became widely known in its military form as the Avro Anson, used extensively for training and coastal reconnaissance.
  • C. Avro Type 698
    Avro Type 698 was the experimental jet-powered delta-wing bomber prototype that led to the development of the British Avro Vulcan strategic bomber.
  • D. Avro
    Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
  • E. Avro
    Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
  • F. None of above. chosen

Provenance (5 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f89e0081909e74beb7c8f55653 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de1fae48190a1149f639faca147 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4f587a7081908c357f82bc28a1aa completed April 2, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ce5059e0f48190b8ff08253337f430 completed April 2, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:12 p.m.