Triple
T1865205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luminate Data |
E34904
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | entertainment data analytics company |
C4107
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: entertainment data analytics company Context triple: [Luminate Data, instanceOf, entertainment data analytics company]
-
A.
media analyst
A media analyst systematically evaluates media content, trends, and audience data to provide insights that inform communication strategies and decision-making.
-
B.
analytics platform
chosen
An analytics platform is a software system that collects, processes, and visualizes data from various sources to provide insights and support data-driven decision-making.
-
C.
sports and entertainment company
A sports and entertainment company is an organization that creates, manages, and promotes athletic competitions, live events, media content, and related experiences for audiences and fans.
-
D.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
E.
sports media division
A sports media division is an organizational unit responsible for creating, managing, and distributing sports-related content across various media platforms to engage audiences and support business objectives.
- F. None of above.
Provenance (1 batch)
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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:34 p.m.