Triple

T12253005
Position Surface form Disambiguated ID Type / Status
Subject UnitedHealth Group E292021 entity
Predicate subsidiary P258 FINISHED
Object Optum E972576 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: [UnitedHealth Group, subsidiary, Optum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Optum
Context triple: [UnitedHealth Group, subsidiary, Optum]
  • A. UnitedHealth Group
    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. OptumInsight chosen
    OptumInsight is a health information technology and data analytics company that provides software, consulting, and services to improve healthcare efficiency and outcomes.
  • C. Anthem Inc.
    Anthem Inc. is a major U.S. health insurance company, now known as Elevance Health, that operates Blue Cross Blue Shield plans and other health coverage services across multiple states.
  • D. Cerner
    Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
  • E. Cigna Corporation
    Cigna Corporation is a major American health services company that provides health insurance and related services to individuals, employers, and government organizations worldwide.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e620ed88190b46d256ebe994714 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.