Triple

T2169808
Position Surface form Disambiguated ID Type / Status
Subject Palmer Hermundslie E48395 entity
Predicate coFounded P104 FINISHED
Object Medtronic E7950 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: Medtronic | Statement: [Palmer Hermundslie, coFounded, Medtronic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medtronic
Context triple: [Palmer Hermundslie, coFounded, Medtronic]
  • A. Medtronic chosen
    Medtronic is a global medical technology company known for developing and manufacturing devices and therapies to treat a wide range of chronic diseases and conditions.
  • B. Boston Scientific
    Boston Scientific is a global medical technology company known for developing and manufacturing minimally invasive medical devices, particularly in cardiology and other interventional specialties.
  • C. Edwards Lifesciences
    Edwards Lifesciences is a global medical technology company best known for its innovations in heart valves and critical care monitoring systems.
  • D. Abbott Vascular
    Abbott Vascular is a medical device division of Abbott Laboratories that specializes in cardiovascular products such as stents, catheters, and other vascular intervention technologies.
  • E. Stryker Corporation
    Stryker Corporation is a major American medical technology company specializing in orthopedic implants, surgical equipment, and other healthcare devices and services.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeaeb58881908ad34f7b253bac2a completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95f487708190b06a536dd20a069a completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:45 p.m.