Triple
T112023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawker Hurricane |
E2268
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Sydney Camm |
E7252
|
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: Sydney Camm | Statement: [Hawker Hurricane, designer, Sydney Camm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Camm Context triple: [Hawker Hurricane, designer, Sydney Camm]
-
A.
Sydney Camm
chosen
Sydney Camm was a British aircraft designer best known for creating the Hawker Hurricane, one of the Royal Air Force’s key fighter planes during World War II.
-
B.
Marc Seriff
Marc Seriff is an American computer scientist and entrepreneur best known as a co-founder and early technical leader of the pioneering internet company AOL.
-
C.
Max Hollein
Max Hollein is an Austrian-born museum director and art historian best known for leading major institutions in Europe and the United States, including serving as director of New York’s Metropolitan Museum of Art.
-
D.
Jamie King
Jamie King is an American actress and former fashion model known for her roles in films like "Sin City" and the TV series "Hart of Dixie."
-
E.
Lee Dixon
Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2a3d459888190ab08a6afdec37d71 |
completed | Feb. 28, 2026, 8:14 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.