Triple

T14396007
Position Surface form Disambiguated ID Type / Status
Subject ULTI E356949 entity
Predicate issuer P29 FINISHED
Object Ultimate Software E72308 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: Ultimate Software | Statement: [ULTI, issuer, Ultimate Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ultimate Software
Context triple: [ULTI, issuer, Ultimate Software]
  • A. Ultimate Software chosen
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • B. Appirio
    Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
  • C. Deltek
    Deltek is a software company specializing in enterprise resource planning and project-based solutions for government contractors and professional services firms.
  • D. Arvato CRM Solutions
    Arvato CRM Solutions is a business process outsourcing provider specializing in customer relationship management services such as customer care, technical support, and digital communication for corporate clients.
  • E. Zoho Corporation
    Zoho Corporation is an Indian software company best known for its wide suite of cloud-based business applications, including CRM, productivity, and collaboration tools for organizations of all sizes.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.