Triple
T1009021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PeopleSoft |
E21777
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | PeopleTools |
E21777
|
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: PeopleTools | Statement: [PeopleSoft, platform, PeopleTools]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PeopleTools Context triple: [PeopleSoft, platform, PeopleTools]
-
A.
PeopleSoft
chosen
PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
-
B.
HRM
HRM is a common abbreviation for the Halifax Regional Municipality, the local government area encompassing the city of Halifax and surrounding communities in Nova Scotia, Canada.
-
C.
Ultimate Software
Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
-
D.
HR
HR is the official vehicle registration code used on license plates for motor vehicles registered in the Indian state of Haryana.
-
E.
Oracle Payroll
Oracle Payroll is an enterprise payroll management application within Oracle’s business software ecosystem that automates payroll processing, compliance, and reporting for organizations.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a3cb608190a2de34a09cd55146 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba9406c81909a13375fea05ee99 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.