Triple

T5067301
Position Surface form Disambiguated ID Type / Status
Subject Athenahealth E114174 entity
Predicate hasProduct P3585 FINISHED
Object athenaCollector
athenaCollector is Athenahealth’s cloud-based medical billing and practice management solution designed to streamline revenue cycle operations for healthcare providers.
 E490100 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: athenaCollector | Statement: [Athenahealth, hasProduct, athenaCollector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: athenaCollector
Context triple: [Athenahealth, hasProduct, athenaCollector]
  • A. Amazon Athena
    Amazon Athena is a serverless, interactive query service from AWS that lets users analyze data directly in Amazon S3 using standard SQL.
  • B. AnalyticDB
    AnalyticDB is Alibaba Cloud’s distributed cloud-native data warehousing and analytics service designed for high-performance, real-time analysis of large-scale data.
  • C. Palantir Apollo
    Palantir Apollo is Palantir Technologies’ continuous delivery and deployment platform designed to manage and update complex software across diverse, distributed environments.
  • D. Amazon Aurora
    Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
  • E. Cassandra
    Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
  • 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: athenaCollector
Triple: [Athenahealth, hasProduct, athenaCollector]
Generated description
athenaCollector is Athenahealth’s cloud-based medical billing and practice management solution designed to streamline revenue cycle operations for healthcare providers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: athenaCollector
Target entity description: athenaCollector is Athenahealth’s cloud-based medical billing and practice management solution designed to streamline revenue cycle operations for healthcare providers.
  • A. athenaOne chosen
    athenaOne is Athenahealth’s integrated cloud-based platform that provides electronic health records, practice management, and patient engagement tools for healthcare providers.
  • B. Amazon Athena
    Amazon Athena is a serverless, interactive query service from AWS that lets users analyze data directly in Amazon S3 using standard SQL.
  • C. AnalyticDB
    AnalyticDB is Alibaba Cloud’s distributed cloud-native data warehousing and analytics service designed for high-performance, real-time analysis of large-scale data.
  • D. Palantir Apollo
    Palantir Apollo is Palantir Technologies’ continuous delivery and deployment platform designed to manage and update complex software across diverse, distributed environments.
  • E. Amazon Aurora
    Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
  • F. None of above.

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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749bf69c819093e75dce56f1c0ab completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4a027a88190a515a374e5405d8a completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea74d0d108190b01b50cb8d08f5d9 completed March 21, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69bea7bcc134819092b93b7d7e6abce9 completed March 21, 2026, 2:14 p.m.
Created at: March 20, 2026, 1:38 p.m.