Triple
T18300522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Tune |
E438346
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Anyscale |
—
|
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: Anyscale | Statement: [Ray Tune, developer, Anyscale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anyscale Context triple: [Ray Tune, developer, Anyscale]
-
A.
Anyscale
chosen
Anyscale is a company that builds tools and infrastructure to simplify and scale distributed computing and AI applications in the cloud.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
NVIDIA NGC
NVIDIA NGC is a cloud-based catalog of GPU-optimized software, including containers, pretrained models, and SDKs, designed to accelerate AI, data science, and HPC development and deployment.
-
D.
Anthos
Anthos is Google Cloud’s hybrid and multi-cloud application platform that enables consistent deployment and management of containerized applications across on-premises and multiple cloud environments.
-
E.
C3.ai
C3.ai is an enterprise artificial intelligence software company that provides a platform and applications for developing, deploying, and operating large-scale AI, predictive analytics, and IoT solutions for businesses and governments.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017e88cc8190a969eb628ca1b496 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.