Triple

T1164255
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Rales E24564 entity
Predicate coFounded P104 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: [Mitchell Rales, coFounded, Danaher Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danaher Corporation
Context triple: [Mitchell Rales, coFounded, 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. Abbott Laboratories
    Abbott Laboratories is a global healthcare company that develops and manufactures medical devices, diagnostics, branded generic medicines, and nutritional products.
  • C. Kenvue
    Kenvue is a consumer health company that owns well-known over-the-counter medicine and personal care brands formerly housed within Johnson & Johnson.
  • D. 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.
  • E. Eurofins Scientific
    Eurofins Scientific is a global leader in bioanalytical testing services, specializing in food, environmental, pharmaceutical, and clinical laboratory analysis.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccb3b388190938c68dee90b3f19 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f15a9ac8190802f66f3699fbbe7 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:45 p.m.