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.