Triple

T22690315
Position Surface form Disambiguated ID Type / Status
Subject CDK4 E561032 entity
Predicate inhibitedByDrug P149275 FINISHED
Object abemaciclib 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: abemaciclib | Statement: [CDK4, inhibitedByDrug, abemaciclib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: abemaciclib
Context triple: [CDK4, inhibitedByDrug, abemaciclib]
  • A. Ibrance
    Ibrance is a targeted oral cancer medication (palbociclib) used primarily to treat certain types of hormone receptor–positive, HER2-negative advanced or metastatic breast cancer.
  • B. trilaciclib
    Trilaciclib is an intravenous cyclin-dependent kinase 4/6 inhibitor used to protect bone marrow from chemotherapy-induced damage in patients with certain cancers.
  • C. lapatinib
    Lapatinib is an oral small-molecule tyrosine kinase inhibitor used primarily to treat HER2-positive breast cancer.
  • D. Lynparza
    Lynparza is a targeted cancer therapy (a PARP inhibitor) used primarily to treat certain types of ovarian, breast, pancreatic, and prostate cancers associated with BRCA mutations.
  • E. Verzenio chosen
    Verzenio is a prescription cancer medication (abemaciclib) used primarily to treat certain types of hormone receptor–positive, HER2-negative breast cancer.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.