Triple
T4949442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey de Havilland |
E111132
|
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: [Geoffrey de Havilland, familyName, de Havilland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Havilland Context triple: [Geoffrey 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.
Canadair
Canadair was a Canadian aircraft manufacturer best known for producing specialized amphibious firefighting and utility aircraft before becoming part of Bombardier Aerospace.
-
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.
De Havilland Dragon
The De Havilland Dragon was a 1930s British twin-engined biplane airliner widely used for short-haul passenger and mail services.
-
E.
Avro
Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89eefa5c8190871debbb8fe6dabe |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:31 p.m.