Triple
T17791115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sussex Stakes |
E444162
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Solow |
—
|
NE NERFINISHED |
How this triple was built (3 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: Solow | Statement: [Sussex Stakes, notableWinner, Solow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solow Context triple: [Sussex Stakes, notableWinner, Solow]
-
A.
Robert Solow
Robert Solow is an American economist and Nobel laureate best known for developing the Solow–Swan growth model, which fundamentally shaped modern theories of economic growth and productivity.
-
B.
Solow growth model
The Solow growth model is a foundational economic framework that explains long-run economic growth through capital accumulation, labor or population growth, and exogenous technological progress.
-
C.
Myrdal
Myrdal is a remote mountain railway station in Norway that serves as a key junction between the Bergen Line and the scenic Flåm Line.
-
D.
Harrod–Domar growth model
The Harrod–Domar growth model is an early Keynesian economic framework that explains long-run economic growth in terms of savings rates and capital-output ratios, highlighting inherent instability in growth paths.
-
E.
Samuelson
Samuelson is a surname most famously associated with Paul Samuelson, a pioneering American economist and Nobel laureate.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solow Target entity description: Solow is a top-class French Thoroughbred racehorse best known for his dominant performances in elite European mile races during the mid-2010s.
-
A.
Robert Solow
Robert Solow is an American economist and Nobel laureate best known for developing the Solow–Swan growth model, which fundamentally shaped modern theories of economic growth and productivity.
-
B.
Solow growth model
The Solow growth model is a foundational economic framework that explains long-run economic growth through capital accumulation, labor or population growth, and exogenous technological progress.
-
C.
Myrdal
Myrdal is a remote mountain railway station in Norway that serves as a key junction between the Bergen Line and the scenic Flåm Line.
-
D.
Harrod–Domar growth model
The Harrod–Domar growth model is an early Keynesian economic framework that explains long-run economic growth in terms of savings rates and capital-output ratios, highlighting inherent instability in growth paths.
-
E.
Samuelson
Samuelson is a surname most famously associated with Paul Samuelson, a pioneering American economist and Nobel laureate.
- F. None of above. chosen
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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48797408081908c48d98e1525ae87 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.