Triple

T18644858
Position Surface form Disambiguated ID Type / Status
Subject Novo Nordisk E455777 entity
Predicate researchFocus P31 FINISHED
Object GLP-1 receptor agonists NE NERFINISHED

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: GLP-1 receptor agonists | Statement: [Novo Nordisk, researchFocus, GLP-1 receptor agonists]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLP-1 receptor agonists
Context triple: [Novo Nordisk, researchFocus, GLP-1 receptor agonists]
  • A. Mounjaro
    Mounjaro is a prescription medication (tirzepatide) used primarily to improve blood sugar control in adults with type 2 diabetes and increasingly known for its weight-loss effects.
  • B. Trulicity chosen
    Trulicity is a prescription GLP-1 receptor agonist medication used to improve blood sugar control in adults with type 2 diabetes.
  • C. Farxiga
    Farxiga is a prescription SGLT2 inhibitor medication used primarily to treat type 2 diabetes and reduce the risk of cardiovascular and kidney complications.
  • D. Januvia
    Januvia is a prescription medication (sitagliptin) used to help control blood sugar levels in adults with type 2 diabetes.
  • E. insulin
    Insulin is a peptide hormone produced by the pancreas that regulates blood glucose levels and is essential in the treatment of diabetes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.