Triple
T6003524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verzenio |
E133651
|
entity |
| Predicate | targets |
P860
|
FINISHED |
| Object |
CDK4
CDK4 is a cyclin-dependent kinase that regulates cell cycle progression and is a key therapeutic target in certain cancers.
|
E561032
|
NE FINISHED |
How this triple was built (4 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: CDK4 | Statement: [Verzenio, targets, CDK4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDK4 Context triple: [Verzenio, targets, CDK4]
-
A.
Cdc28
Cdc28 is the major cyclin-dependent kinase in budding yeast that drives progression through the cell cycle by phosphorylating key regulatory proteins.
-
B.
CNK4
CNK4 is the ICAO airport code assigned to Parry Sound Area Municipal Airport in Ontario, Canada.
-
C.
ERBB2
ERBB2, also known as HER2, is a receptor tyrosine kinase frequently overexpressed in certain breast and other cancers and serves as a key therapeutic target.
-
D.
ERK
ERK is the abbreviation for the Evangelical Reformed Church, a Protestant regional church within the Reformed tradition.
-
E.
HER2 receptor
The HER2 receptor is a cell surface protein and member of the epidermal growth factor receptor family that, when overexpressed, drives the growth of certain aggressive breast and other cancers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CDK4 Triple: [Verzenio, targets, CDK4]
Generated description
CDK4 is a cyclin-dependent kinase that regulates cell cycle progression and is a key therapeutic target in certain cancers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CDK4 Target entity description: CDK4 is a cyclin-dependent kinase that regulates cell cycle progression and is a key therapeutic target in certain cancers.
-
A.
Cdc28
Cdc28 is the major cyclin-dependent kinase in budding yeast that drives progression through the cell cycle by phosphorylating key regulatory proteins.
-
B.
CNK4
CNK4 is the ICAO airport code assigned to Parry Sound Area Municipal Airport in Ontario, Canada.
-
C.
ERBB2
ERBB2, also known as HER2, is a receptor tyrosine kinase frequently overexpressed in certain breast and other cancers and serves as a key therapeutic target.
-
D.
ERK
ERK is the abbreviation for the Evangelical Reformed Church, a Protestant regional church within the Reformed tradition.
-
E.
HER2 receptor
The HER2 receptor is a cell surface protein and member of the epidermal growth factor receptor family that, when overexpressed, drives the growth of certain aggressive breast and other cancers.
- F. None of above. chosen
Provenance (5 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f0f63148190826198281dce3713 |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1088f5c84819094e4696c24c4dd79 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c1099f00f88190a5f1f0fafbb679c2 |
completed | March 23, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10a2ffdcc8190bfeebc59d98b2b29 |
completed | March 23, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:06 p.m.