Triple
T10016144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoit Dageville |
E199499
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Oracle parallel database systems |
E97103
|
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: Oracle parallel database systems | Statement: [Benoit Dageville, workedOn, Oracle parallel database systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oracle parallel database systems Context triple: [Benoit Dageville, workedOn, Oracle parallel database systems]
-
A.
Oracle Real Application Clusters (RAC)
chosen
Oracle Real Application Clusters (RAC) is an Oracle Database option that enables multiple servers to run a single database simultaneously for high availability, scalability, and fault tolerance.
-
B.
Oracle Database In-Memory
Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
-
C.
Oracle Autonomous Transaction Processing
Oracle Autonomous Transaction Processing is a cloud-based, self-driving database service from Oracle designed to automate tuning, scaling, security, and patching for high-performance transactional workloads.
-
D.
HALDB (High Availability Large Databases)
HALDB (High Availability Large Databases) is an IMS database organization designed to provide high availability and scalability for very large data volumes through partitioning and online management capabilities.
-
E.
Database Systems: The Complete Book
Database Systems: The Complete Book is a comprehensive textbook that covers fundamental and advanced concepts in database design, implementation, and theory, widely used in computer science education.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a99971081908397f06c0ce913d0 |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.