Triple

T9213750
Position Surface form Disambiguated ID Type / Status
Subject Tod Nielsen E221190 entity
Predicate employer P7 FINISHED
Object Salesforce E17666 NE FINISHED

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: Salesforce | Statement: [Tod Nielsen, employer, Salesforce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salesforce
Context triple: [Tod Nielsen, employer, Salesforce]
  • A. Salesforce chosen
    Salesforce is a leading cloud-based customer relationship management (CRM) company known for its suite of enterprise applications for sales, service, marketing, and analytics.
  • B. Zoho CRM
    Zoho CRM is a cloud-based customer relationship management platform designed to help businesses manage sales, marketing, and customer support in a unified system.
  • C. Gainsight
    Gainsight is a customer success and product experience software company known for helping businesses reduce churn, drive expansion, and improve customer retention through data-driven insights and workflows.
  • D. ReadyForce
    ReadyForce is a career networking and recruiting platform that connects students and recent graduates with employers, particularly in the tech and startup sectors.
  • E. Base CRM
    Base CRM was a sales-focused customer relationship management platform known for its intuitive interface and mobile-first design, later integrated into Zendesk’s product suite after acquisition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda06bf80819094c6e74b4b6a31e4 completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d06613daf88190a0128fd53ea1b134 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.