Triple
T15989638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudera |
E387790
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Cloudera Navigator
Cloudera Navigator is a data governance and metadata management solution for Hadoop and big data environments, providing capabilities like data lineage, auditing, and policy management.
|
E1187509
|
NE FINISHED |
How this triple was built (4 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: Cloudera Navigator | Statement: [Cloudera, product, Cloudera Navigator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloudera Navigator Context triple: [Cloudera, product, Cloudera Navigator]
-
A.
Cloudera
Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
-
B.
CDH
CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
-
C.
CDH
CDH is a centrist Christian democratic political party in Belgium, primarily active in the French-speaking region.
-
D.
Hive Metastore
Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cloudera Navigator Triple: [Cloudera, product, Cloudera Navigator]
Generated description
Cloudera Navigator is a data governance and metadata management solution for Hadoop and big data environments, providing capabilities like data lineage, auditing, and policy management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cloudera Navigator Target entity description: Cloudera Navigator is a data governance and metadata management solution for Hadoop and big data environments, providing capabilities like data lineage, auditing, and policy management.
-
A.
Cloudera
Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
-
B.
CDH
CDH is a centrist Christian democratic political party in Belgium, primarily active in the French-speaking region.
-
C.
CDH
CDH is the College of Humanities at EPFL, responsible for teaching and research in human and social sciences within the Swiss engineering and technology university.
-
D.
Hive Metastore
Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
-
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. chosen
Provenance (5 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc45e6ff48190bb7b82adb4161ad0 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:54 a.m.