Triple

T2154201
Position Surface form Disambiguated ID Type / Status
Subject Olivia de Havilland E47849 entity
Predicate familyName P18 FINISHED
Object de Havilland E162603 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: de Havilland | Statement: [Olivia de Havilland, familyName, de Havilland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Havilland
Context triple: [Olivia de Havilland, familyName, de Havilland]
  • A. de Havilland Aircraft Company chosen
    De Havilland Aircraft Company was a major British aviation manufacturer renowned for designing innovative military and civilian aircraft, including iconic World War II planes.
  • B. 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.
  • C. Avro
    Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
  • D. Avro
    Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
  • E. Hawker Siddeley
    Hawker Siddeley was a major British aircraft manufacturing and engineering conglomerate known for producing military and civil aircraft during 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe64fdf081909a5ea6818bddd18c completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653677ec8190ab0b044e005a9947 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:44 p.m.