  Information Extraction (IE) tasks are commonly studied topics in various
domains of research. Hence, the community continuously produces multiple
techniques, solutions, and tools to perform such tasks. However, running those
tools and integrating them within existing infrastructure requires time,
expertise, and resources. One pertinent task here is triples extraction and
linking, where structured triples are extracted from a text and aligned to an
existing Knowledge Graph (KG). In this paper, we present PLUMBER, the first
framework that allows users to manually and automatically create suitable IE
pipelines from a community-created pool of tools to perform triple extraction
and alignment on unstructured text. Our approach provides an interactive medium
to alter the pipelines and perform IE tasks. A short video to show the working
of the framework for different use-cases is available online under:
https://www.youtube.com/watch?v=XC9rJNIUv8g
