Triple
T17499016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splunk |
E426145
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Splunk SOAR |
—
|
NE NERFINISHED |
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: Splunk SOAR | Statement: [Splunk, product, Splunk SOAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Splunk SOAR Context triple: [Splunk, product, Splunk SOAR]
-
A.
SOAR
SOAR is the commonly used abbreviation for the U.S. Army’s elite 160th Special Operations Aviation Regiment, known for its specialized nighttime and low-level aviation missions in support of special operations forces.
-
B.
SOAR
SOAR is a 4.1-meter optical and near-infrared research telescope located on Cerro Pachón in Chile, used for a wide range of astronomical observations.
-
C.
SAM (SOAR Adaptive Module)
SAM (SOAR Adaptive Module) is an adaptive optics instrument on the SOAR Telescope that improves image quality by correcting atmospheric distortions for optical observations.
-
D.
Splunk
chosen
Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
-
E.
Microsoft Sentinel
Microsoft Sentinel is a cloud-native security information and event management (SIEM) and security orchestration, automation, and response (SOAR) solution on Azure that helps organizations detect, investigate, and respond to threats at scale.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.