Triple

T21172527
Position Surface form Disambiguated ID Type / Status
Subject Edward N. Lorenz E521726 entity
Predicate knownFor P22 FINISHED
Object Lorenz attractor 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 attractor | Statement: [Edward N. Lorenz, knownFor, Lorenz attractor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenz attractor
Context triple: [Edward N. Lorenz, knownFor, Lorenz attractor]
  • 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. Strange Attractors
    "Strange Attractors" is a collection of philosophically rich short stories by Rebecca Goldstein that blend mathematics, science, and human relationships.
  • C. Lorenz
    Lorenz is a masculine given name of German origin, historically borne by various notable figures in Europe.
  • D. 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.
  • E. 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.
  • 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.