Triple

T1009025
Position Surface form Disambiguated ID Type / Status
Subject PeopleSoft E21777 entity
Predicate hasModule P12988 FINISHED
Object PeopleSoft CRM E21777 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: PeopleSoft CRM | Statement: [PeopleSoft, hasModule, PeopleSoft CRM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PeopleSoft CRM
Context triple: [PeopleSoft, hasModule, PeopleSoft CRM]
  • A. PeopleSoft chosen
    PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
  • B. Siebel Systems
    Siebel Systems was a leading enterprise software company best known for pioneering customer relationship management (CRM) solutions for large organizations.
  • C. Siebel
    Siebel is a surname most prominently associated with Jennifer Siebel Newsom, an American documentary filmmaker and the First Partner of California.
  • D. Salesforce
    Salesforce is a leading cloud-based customer relationship management (CRM) company known for its suite of enterprise applications for sales, service, marketing, and analytics.
  • E. Oracle E-Business Suite
    Oracle E-Business Suite is an integrated suite of enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM) applications designed to support and automate core business processes.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a3cb608190a2de34a09cd55146 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f29385c8190a42dc7dbac592221 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:41 p.m.