Triple

T17674907
Position Surface form Disambiguated ID Type / Status
Subject José Valim E440620 entity
Predicate coFounded P104 FINISHED
Object Dashbit 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: Dashbit | Statement: [José Valim, coFounded, Dashbit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashbit
Context triple: [José Valim, coFounded, Dashbit]
  • A. Dashbit chosen
    Dashbit is a software consultancy and development company co-founded by José Valim, known for its work on Elixir and scalable, high-performance systems.
  • B. Dashboard
    "Dashboard" is an indie rock song by Modest Mouse, known for its upbeat, hook-driven sound and prominent use of horns.
  • C. Dashboard
    Dashboard was a macOS feature that provided a separate space for lightweight widgets like weather, calculator, and notes, offering quick access to small utilities and information.
  • D. Grafana
    Grafana is an open-source analytics and visualization platform used to create interactive dashboards and monitor metrics from various data sources.
  • E. Zoho Analytics
    Zoho Analytics is a cloud-based business intelligence and data analytics platform that enables users to visualize data, create reports and dashboards, and derive insights for decision-making.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6ba22081909e2099490c047378 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.