Triple
T23142607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chaos theory |
E577499
|
entity |
| Predicate | coreExample |
P127119
|
FINISHED |
| Object | Rössler attractor |
—
|
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: Rössler attractor | Statement: [chaos theory, coreExample, Rössler attractor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rössler attractor Context triple: [chaos theory, coreExample, Rössler attractor]
-
A.
Lorenz attractor
The Lorenz attractor is a famous chaotic set arising from a simplified model of atmospheric convection, known for its butterfly-shaped trajectory and role as an early example of deterministic chaos in dynamical systems.
-
B.
Strange Attractors
"Strange Attractors" is a collection of philosophically rich short stories by Rebecca Goldstein that blend mathematics, science, and human relationships.
-
C.
Lyapunov fractal
The Lyapunov fractal is a complex, self-similar pattern arising from iterating logistic maps with periodically varying parameters, used to visualize stability and chaos in dynamical systems.
-
D.
Smale horseshoe
The Smale horseshoe is a fundamental example in dynamical systems theory that illustrates chaotic behavior through a specific stretching-and-folding map of a square into a horseshoe-shaped region.
-
E.
Lorenz
Lorenz is a masculine given name of German origin, historically borne by various notable figures in Europe.
- 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: Rössler attractor Target entity description: The Rössler attractor is a classic three-dimensional dynamical system that exhibits continuous-time chaotic behavior and is widely used to illustrate strange attractors in chaos theory.
-
A.
Lorenz attractor
The Lorenz attractor is a famous chaotic set arising from a simplified model of atmospheric convection, known for its butterfly-shaped trajectory and role as an early example of deterministic chaos in dynamical systems.
-
B.
Strange Attractors
"Strange Attractors" is a collection of philosophically rich short stories by Rebecca Goldstein that blend mathematics, science, and human relationships.
-
C.
Lyapunov fractal
The Lyapunov fractal is a complex, self-similar pattern arising from iterating logistic maps with periodically varying parameters, used to visualize stability and chaos in dynamical systems.
-
D.
Smale horseshoe
The Smale horseshoe is a fundamental example in dynamical systems theory that illustrates chaotic behavior through a specific stretching-and-folding map of a square into a horseshoe-shaped region.
-
E.
Lorenz
Lorenz is a masculine given name of German origin, historically borne by various notable figures in Europe.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecb72fc8190a24e8f5756217a36 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4 p.m.