Triple
T21172528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward N. Lorenz |
E521726
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Lorenz system |
—
|
NE NERFINISHED |
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: Lorenz system | Statement: [Edward N. Lorenz, knownFor, Lorenz system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorenz system Context triple: [Edward N. Lorenz, knownFor, Lorenz system]
-
A.
Lorenz attractor
chosen
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.
Lorenz
Lorenz is a masculine given name of German origin, historically borne by various notable figures in Europe.
-
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.
Strange Attractors
"Strange Attractors" is a collection of philosophically rich short stories by Rebecca Goldstein that blend mathematics, science, and human relationships.
-
E.
Lotka–Volterra equations
The Lotka–Volterra equations are a pair of nonlinear differential equations that model the dynamics of biological systems in which two species interact as predator and prey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e727141b7c81908eb8ca92850736a4 |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.