Triple

T6274378
Position Surface form Disambiguated ID Type / Status
Subject Square, Inc. E140618 entity
Predicate product P490 FINISHED
Object 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.
E579504 NE FINISHED

How this triple was built (4 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: Square Payroll | Statement: [Square, Inc., product, Square Payroll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square Payroll
Context triple: [Square, Inc., product, Square Payroll]
  • A. Paylocity
    Paylocity is a U.S.-based provider of cloud payroll and human capital management software solutions for businesses.
  • B. Paychex
    Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
  • C. Paycom
    Paycom is a U.S.-based software company that provides cloud-based payroll and human capital management solutions to businesses.
  • D. Paycom Center
    Paycom Center is a multi-purpose indoor arena in downtown Oklahoma City best known as the home of the NBA’s Oklahoma City Thunder.
  • E. Ultimate Software
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Square Payroll
Triple: [Square, Inc., product, Square Payroll]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Square Payroll
Target entity description: 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.
  • A. Paylocity
    Paylocity is a U.S.-based provider of cloud payroll and human capital management software solutions for businesses.
  • B. Paychex
    Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
  • C. Paycom
    Paycom is a U.S.-based software company that provides cloud-based payroll and human capital management solutions to businesses.
  • D. Paycom Center
    Paycom Center is a multi-purpose indoor arena in downtown Oklahoma City best known as the home of the NBA’s Oklahoma City Thunder.
  • E. Ultimate Software
    Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
  • F. None of above. chosen

Provenance (5 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063c0629c8190805ddf1a604e9ca4 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446eecfc819099c3dc5cdb960672 completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c246ca23148190aa82019d3857f14e completed March 24, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69c2475b2ad88190a43db8803c4e7893 completed March 24, 2026, 8:12 a.m.
Created at: March 22, 2026, 4:25 p.m.