Triple

T22566266
Position Surface form Disambiguated ID Type / Status
Subject PCTY E557959 entity
Predicate represents P129 FINISHED
Object Paylocity Holding Corporation 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: Paylocity Holding Corporation | Statement: [PCTY, represents, Paylocity Holding Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paylocity Holding Corporation
Context triple: [PCTY, represents, Paylocity Holding Corporation]
  • A. Paycor, Inc.
    Paycor, Inc. is a U.S.-based provider of human capital management and payroll software solutions for small and midsize businesses.
  • B. Paylocity chosen
    Paylocity is a U.S.-based provider of cloud payroll and human capital management software solutions for businesses.
  • C. Paychex
    Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
  • D. Ceridian Corporation
    Ceridian Corporation is a human capital management and payroll technology company known for providing cloud-based workforce and HR solutions to businesses.
  • E. Automatic Payrolls, Inc.
    Automatic Payrolls, Inc. was the original name of Automatic Data Processing, a major American provider of payroll and human capital management services.
  • 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_69f15fa9ebc8819098d74fb41e14bd7e completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.