Triple

T11081842
Position Surface form Disambiguated ID Type / Status
Subject Joshua Kushner E262012 entity
Predicate boardMemberOf P10 FINISHED
Object Oscar Health E903793 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: Oscar Health | Statement: [Joshua Kushner, boardMemberOf, Oscar Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Health
Context triple: [Joshua Kushner, boardMemberOf, Oscar Health]
  • A. Oscar Health chosen
    Oscar Health is a technology-driven health insurance company known for offering user-friendly, digitally focused health plans in the United States.
  • B. 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.
  • 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. 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.
  • E. Aetna
    Aetna is a small rural community located within Cardston County in southern Alberta, Canada.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799985650819089b2c0f35a212414 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d641c288190b3fed49022f5552d completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.