Triple

T10291909
Position Surface form Disambiguated ID Type / Status
Subject andexanet alfa E241384 entity
Predicate developedBy P73 FINISHED
Object Alexion Pharmaceuticals E505487 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: Alexion Pharmaceuticals | Statement: [andexanet alfa, developedBy, Alexion Pharmaceuticals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexion Pharmaceuticals
Context triple: [andexanet alfa, developedBy, Alexion Pharmaceuticals]
  • A. Alexion Pharmaceuticals chosen
    Alexion Pharmaceuticals is a biopharmaceutical company specializing in the development of therapies for rare and severe diseases, particularly in the field of complement biology.
  • B. Genzyme
    Genzyme is a biotechnology company best known for developing treatments for rare genetic disorders and other specialty diseases.
  • C. Biogen
    Biogen is a major American biotechnology company known for developing therapies for neurological and neurodegenerative diseases.
  • D. Regeneron Pharmaceuticals
    Regeneron Pharmaceuticals is a leading American biotechnology company known for developing innovative antibody-based therapies for serious diseases, including eye disorders, cancer, and inflammatory conditions.
  • E. Genmab
    Genmab is a Danish biotechnology company specializing in the development of antibody-based cancer therapies.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d35f048190a215493acdf1f718 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:42 a.m.