Triple
T15989591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workday |
E387789
|
entity |
| Predicate | offers |
P178
|
FINISHED |
| Object | Workday Recruiting |
E387789
|
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: Workday Recruiting | Statement: [Workday, offers, Workday Recruiting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Workday Recruiting Context triple: [Workday, offers, Workday Recruiting]
-
A.
Workday
chosen
Workday is a cloud-based enterprise software company best known for its human capital management and financial management applications used by large organizations worldwide.
-
B.
UltiPro
UltiPro is a cloud-based human capital management (HCM) and payroll software platform designed to help organizations manage HR, talent, time, and compensation processes.
-
C.
ManpowerGroup
ManpowerGroup is a global workforce solutions and staffing services company that provides recruitment, talent management, and outsourcing services to businesses worldwide.
-
D.
Zenefits
Zenefits is a cloud-based human resources and benefits administration platform that helps small and mid-sized businesses manage payroll, benefits, compliance, and HR processes in one system.
-
E.
Career Day
Career Day is a television program produced by Entertainment Studios Television that profiles various professions and the people who work in them.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.