Triple

T21190406
Position Surface form Disambiguated ID Type / Status
Subject Richard C. Levin E522195 entity
Predicate boardMemberOf P10 FINISHED
Object Cigna 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: Cigna | Statement: [Richard C. Levin, boardMemberOf, Cigna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigna
Context triple: [Richard C. Levin, boardMemberOf, Cigna]
  • A. Cigna Corporation chosen
    Cigna Corporation is a major American health services company that provides health insurance and related services to individuals, employers, and government organizations worldwide.
  • B. 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.
  • C. Aetna
    Aetna is a small rural community located within Cardston County in southern Alberta, Canada.
  • D. 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.
  • E. 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.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733372b488190920174955b4b9172 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.