Triple

T20139799
Position Surface form Disambiguated ID Type / Status
Subject ATHN E491129 entity
Predicate represents P129 FINISHED
Object Athenahealth, Inc. 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: Athenahealth, Inc. | Statement: [ATHN, represents, Athenahealth, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athenahealth, Inc.
Context triple: [ATHN, represents, Athenahealth, Inc.]
  • A. Athenahealth chosen
    Athenahealth is a U.S.-based healthcare technology company that provides cloud-based electronic health record, practice management, and revenue cycle management solutions for medical practices and health systems.
  • B. Amwell
    Amwell is a village in Hertfordshire, England, known for its historic countryside setting and proximity to landmarks such as Scott’s Grotto.
  • C. Paradigm4
    Paradigm4 is a data analytics software company known for developing the SciDB array database system for large-scale scientific and complex data analysis.
  • D. Optum
    Optum is a health services and innovation company under UnitedHealth Group that provides data-driven care, pharmacy, and technology solutions to healthcare organizations and consumers.
  • E. Flatiron Health
    Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.