Triple
T21169695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Hyperion Planning |
E521659
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Oracle Hyperion Financial Management |
—
|
NE NERFINISHED |
How this triple was built (3 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: Oracle Hyperion Financial Management | Statement: [Oracle Hyperion Planning, integratesWith, Oracle Hyperion Financial Management]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle Hyperion Financial Management Context triple: [Oracle Hyperion Planning, integratesWith, Oracle Hyperion Financial Management]
-
A.
Oracle Hyperion Planning
Oracle Hyperion Planning is an enterprise planning, budgeting, and forecasting application that supports financial and operational planning processes across organizations.
-
B.
Oracle Enterprise Performance Management Cloud
Oracle Enterprise Performance Management Cloud is a suite of cloud-based applications that helps organizations plan, budget, forecast, and report on business performance across finance and operations.
-
C.
IBM Planning Analytics
IBM Planning Analytics is an AI-powered business planning and forecasting platform that helps organizations build integrated financial and operational plans, perform complex what-if analysis, and support data-driven decision-making.
-
D.
IBM Cognos Analytics
IBM Cognos Analytics is a business intelligence and data analytics platform that enables users to visualize, explore, and report on data for informed decision-making.
-
E.
Oracle E-Business Suite
Oracle E-Business Suite is an integrated suite of enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM) applications designed to support and automate core business processes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oracle Hyperion Financial Management Target entity description: Oracle Hyperion Financial Management is an enterprise financial consolidation, reporting, and analysis application used by large organizations to manage complex financial close and regulatory reporting processes.
-
A.
Oracle Hyperion Planning
Oracle Hyperion Planning is an enterprise planning, budgeting, and forecasting application that supports financial and operational planning processes across organizations.
-
B.
Oracle Enterprise Performance Management Cloud
Oracle Enterprise Performance Management Cloud is a suite of cloud-based applications that helps organizations plan, budget, forecast, and report on business performance across finance and operations.
-
C.
IBM Planning Analytics
IBM Planning Analytics is an AI-powered business planning and forecasting platform that helps organizations build integrated financial and operational plans, perform complex what-if analysis, and support data-driven decision-making.
-
D.
IBM Cognos Analytics
IBM Cognos Analytics is a business intelligence and data analytics platform that enables users to visualize, explore, and report on data for informed decision-making.
-
E.
Oracle E-Business Suite
Oracle E-Business Suite is an integrated suite of enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management (SCM) applications designed to support and automate core business processes.
- F. None of above. chosen
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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72711be9481909f16107b71d3500a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.