Triple

T22566320
Position Surface form Disambiguated ID Type / Status
Subject ADP E557960 entity
Predicate originalName P65 FINISHED
Object Automatic Payrolls, Inc. 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: Automatic Payrolls, Inc. | Statement: [ADP, originalName, Automatic Payrolls, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Automatic Payrolls, Inc.
Context triple: [ADP, originalName, Automatic Payrolls, Inc.]
  • A. Automatic Payrolls, Inc. chosen
    Automatic Payrolls, Inc. was the original name of Automatic Data Processing, a major American provider of payroll and human capital management services.
  • B. Paycor, Inc.
    Paycor, Inc. is a U.S.-based provider of human capital management and payroll software solutions for small and midsize businesses.
  • C. Paychex
    Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
  • D. Paylocity
    Paylocity is a U.S.-based provider of cloud payroll and human capital management software solutions for businesses.
  • E. Square Payroll
    Square Payroll is a cloud-based payroll service designed for small and medium-sized businesses to manage employee and contractor payments, tax filings, and compliance.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15faaa0b081908d5aa8f3ba1e3dd3 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.