Triple

T20280939
Position Surface form Disambiguated ID Type / Status
Subject Dave Rosenberg E503139 entity
Predicate coFounded P104 FINISHED
Object MuleSoft 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: MuleSoft | Statement: [Dave Rosenberg, coFounded, MuleSoft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MuleSoft
Context triple: [Dave Rosenberg, coFounded, MuleSoft]
  • A. MuleSoft chosen
    MuleSoft is an integration and API management platform that helps organizations connect applications, data, and devices across cloud and on-premises environments.
  • B. Pivotal Software
    Pivotal Software is a cloud-native platform and services company known for its Pivotal Cloud Foundry product and agile software development tools, originally formed as a spin-off from EMC and VMware.
  • C. TIBCO Software
    TIBCO Software is an enterprise software company known for its real-time data integration, analytics, and event-processing solutions for businesses.
  • D. Anypoint Platform
    Anypoint Platform is MuleSoft’s unified integration and API management platform that enables organizations to connect applications, data, and devices across on-premises and cloud environments.
  • E. C3.ai
    C3.ai is an enterprise artificial intelligence software company that provides a platform and applications for developing, deploying, and operating large-scale AI, predictive analytics, and IoT solutions for businesses and governments.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768e9f0881909c8fe8772dafd468 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:38 a.m.