Triple

T19527764
Position Surface form Disambiguated ID Type / Status
Subject Humphrey Verdon Roe E488575 entity
Predicate coFounded P104 FINISHED
Object Avro 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: Avro | Statement: [Humphrey Verdon Roe, coFounded, Avro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avro
Context triple: [Humphrey Verdon Roe, coFounded, Avro]
  • A. Avro
    Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
  • B. Avro
    Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
  • C. Avro Avian
    The Avro Avian was a British light biplane of the 1920s and 1930s, widely used for long-distance and record-breaking flights.
  • D. Avro Ltd chosen
    Avro Ltd was a pioneering British aircraft manufacturer best known for designing iconic military aircraft such as the Avro Lancaster bomber.
  • E. Hawker
    Hawker is a surname of English origin borne by various notable individuals across fields such as aviation, politics, and the arts.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.