Triple
T23041782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Enterprise Associates |
E573755
|
entity |
| Predicate | notableInvestment |
P3488
|
FINISHED |
| Object | Databricks |
—
|
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: Databricks | Statement: [New Enterprise Associates, notableInvestment, Databricks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Databricks Context triple: [New Enterprise Associates, notableInvestment, Databricks]
-
A.
Databricks
chosen
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.
-
B.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
C.
Anyscale
Anyscale is a company that builds tools and infrastructure to simplify and scale distributed computing and AI applications in the cloud.
-
D.
Alibaba Cloud DataWorks
Alibaba Cloud DataWorks is a fully managed, cloud-native data integration, development, and governance platform that supports building and orchestrating complex data pipelines and analytics workflows on Alibaba Cloud.
-
E.
Tamr
Tamr is a data mastering and integration company that uses machine learning to unify and clean large, disparate datasets for enterprises.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18513fc54819096d761a0be75b774 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.