Triple

T9854948
Position Surface form Disambiguated ID Type / Status
Subject Zimmer Holdings E239559 entity
Predicate mergerPartner P6600 FINISHED
Object Biomet E47802 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: Biomet | Statement: [Zimmer Holdings, mergerPartner, Biomet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biomet
Context triple: [Zimmer Holdings, mergerPartner, Biomet]
  • A. Zimmer Biomet chosen
    Zimmer Biomet is a global medical device company specializing in orthopedic implants, joint replacement technologies, and related surgical products.
  • B. Innogen
    Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
  • C. Biolon
    Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
  • D. 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.
  • E. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f5b6148190bcccebd0aefb4bc9 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.