Triple
T14087326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DRMAA API |
E339030
|
entity |
| Predicate | usedWith |
P4791
|
FINISHED |
| Object | Sun Grid Engine |
E68045
|
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: Sun Grid Engine | Statement: [DRMAA API, usedWith, Sun Grid Engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Grid Engine Context triple: [DRMAA API, usedWith, Sun Grid Engine]
-
A.
Sun Grid Engine
chosen
Sun Grid Engine is an open-source batch-queuing and workload management system used to schedule and manage jobs on compute clusters and grids.
-
B.
SGE
SGE is a common abbreviation and nickname for Eintracht Frankfurt, a professional football club based in Frankfurt, Germany.
-
C.
Job Entry Subsystem 2
Job Entry Subsystem 2 (JES2) is an IBM mainframe component of the z/OS operating system that manages the input, scheduling, and output of batch jobs and spooled data.
-
D.
BlueGene/Q supercomputer
The BlueGene/Q supercomputer is IBM’s massively parallel, energy-efficient petascale system that powered several of the world’s fastest scientific computing installations in the early 2010s.
-
E.
Workload Manager
Workload Manager is a system or software component that monitors, prioritizes, and allocates computing resources to different tasks or applications to optimize overall performance and efficiency.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a3e55c81909b52f618e9076dd2 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.