Triple

T3880016
Position Surface form Disambiguated ID Type / Status
Subject The Advisory Board Company E92796 entity
Predicate acquiredBy P347 FINISHED
Object Optum E292021 NE FINISHED

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: Optum | Statement: [The Advisory Board Company, acquiredBy, Optum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Optum
Context triple: [The Advisory Board Company, acquiredBy, Optum]
  • A. UnitedHealth Group chosen
    UnitedHealth Group is a leading American diversified health care and insurance company that provides health benefits and services through its UnitedHealthcare and Optum businesses.
  • B. Cerner
    Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
  • C. Aetna
    Aetna is a major American health insurance company and managed health care provider known for offering medical, pharmacy, dental, and related benefit plans nationwide.
  • D. Athenahealth
    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.
  • E. Epic Systems
    Epic Systems is a leading American healthcare software company best known for its widely used electronic health record (EHR) systems in hospitals and clinics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec7557cc819094f055463625ffc3 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512568ba48190a820fcda9b472701 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.