Triple

T4784967
Position Surface form Disambiguated ID Type / Status
Subject mAb114 E106453 entity
Predicate hasInternationalNonproprietaryName P24556 FINISHED
Object ansuvimab E468967 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: ansuvimab | Statement: [mAb114, hasInternationalNonproprietaryName, ansuvimab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ansuvimab
Context triple: [mAb114, hasInternationalNonproprietaryName, ansuvimab]
  • A. ansuvimab chosen
    Ansuvimab is a monoclonal antibody used as a therapeutic treatment for infection caused by Zaire ebolavirus (Ebola virus).
  • B. odesivimab
    Odesivimab is a monoclonal antibody used as part of an antibody cocktail therapy for the treatment of Ebola virus infection.
  • C. maftivimab
    Maftivimab is a monoclonal antibody used as part of an antibody cocktail therapy for the treatment of Ebola virus infection.
  • D. Kymab
    Kymab is a biotechnology company based in Cambridge, UK, focused on developing antibody-based therapeutics using its proprietary transgenic mouse platforms.
  • E. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ae49ec81908f16248d22d1155f completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d93f2cc8190acf96766d2c5a946 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.