Triple

T11073567
Position Surface form Disambiguated ID Type / Status
Subject Danaher Corporation E261807 entity
Predicate hasSubsidiary P254 FINISHED
Object Cytiva E261808 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: Cytiva | Statement: [Danaher Corporation, hasSubsidiary, Cytiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cytiva
Context triple: [Danaher Corporation, hasSubsidiary, Cytiva]
  • A. Cytiva chosen
    Cytiva is a global life sciences company that provides technologies and services for biopharmaceutical research, development, and manufacturing.
  • B. 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.
  • C. Phenomenex
    Phenomenex is a chromatography consumables and separation science company known for providing columns, sample preparation products, and related technologies for analytical and laboratory applications.
  • D. Baxter International
    Baxter International is a global healthcare company specializing in medical devices, pharmaceuticals, and biotechnology products, particularly in areas such as renal care, critical care, and hospital products.
  • E. 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.
  • 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_69d7994e32fc8190a6591d9e82b68f75 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8bfb0c88190be27f5ce09b02c8b completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:26 p.m.