Triple

T2370733
Position Surface form Disambiguated ID Type / Status
Subject Fortive E46083 entity
Predicate separatedFrom P243 FINISHED
Object Danaher Corporation E46084 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: Danaher Corporation | Statement: [Fortive, separatedFrom, Danaher Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danaher Corporation
Context triple: [Fortive, separatedFrom, Danaher Corporation]
  • A. Danaher Corporation chosen
    Danaher Corporation is a diversified global science and technology conglomerate known for its portfolio of life sciences, diagnostics, and industrial solutions businesses.
  • B. Thermo Fisher Scientific
    Thermo Fisher Scientific is a leading American biotechnology and laboratory equipment company that provides scientific instruments, reagents, and services to research, healthcare, and industrial customers worldwide.
  • C. Abbott Laboratories
    Abbott Laboratories is a global healthcare company that develops and manufactures medical devices, diagnostics, branded generic medicines, and nutritional products.
  • D. Kenvue
    Kenvue is a consumer health company that owns well-known over-the-counter medicine and personal care brands formerly housed within Johnson & Johnson.
  • E. Lonza
    Lonza is a global Swiss-based life sciences company specializing in pharmaceutical, biotech, and nutrition products and services, particularly in contract development and manufacturing.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76f5aec8190867d621e6849258c completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3c81430819081654a90df17c5c0 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:56 p.m.