Triple

T17521543
Position Surface form Disambiguated ID Type / Status
Subject Adrien Treuille E426687 entity
Predicate notableProject P4 FINISHED
Object Streamlit for data apps 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: Streamlit for data apps | Statement: [Adrien Treuille, notableProject, Streamlit for data apps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Streamlit for data apps
Context triple: [Adrien Treuille, notableProject, Streamlit for data apps]
  • A. Streamlit chosen
    Streamlit is an open-source Python framework that lets developers quickly build and share interactive web apps for data science and machine learning.
  • B. Streamlit Community Cloud
    Streamlit Community Cloud is a hosted platform that lets users easily deploy, share, and manage Streamlit data apps directly from their code repositories.
  • C. Streamlit Inc.
    Streamlit Inc. is a software company that creates tools for building and deploying data-driven web applications in Python, best known for its open-source Streamlit framework and associated cloud hosting services.
  • D. Plotly
    Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
  • E. Datalore
    Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d2f79881909556894728e255ab completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.