Triple
T19773033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrance |
E474934
|
entity |
| Predicate | targets |
P860
|
FINISHED |
| Object | cyclin-dependent kinase 6 |
—
|
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: cyclin-dependent kinase 6 | Statement: [Ibrance, targets, cyclin-dependent kinase 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: cyclin-dependent kinase 6 Context triple: [Ibrance, targets, cyclin-dependent kinase 6]
-
A.
CDK6
chosen
CDK6 is a cyclin-dependent kinase that regulates cell cycle progression and is a key target in certain cancer therapies.
-
B.
CDK4
CDK4 is a cyclin-dependent kinase that regulates cell cycle progression and is a key therapeutic target in certain cancers.
-
C.
Cdc28
Cdc28 is the major cyclin-dependent kinase in budding yeast that drives progression through the cell cycle by phosphorylating key regulatory proteins.
-
D.
c-Myc
c-Myc is a proto-oncogene transcription factor that regulates cell growth, proliferation, and metabolism and is frequently dysregulated in cancer.
-
E.
Talycopa
Talycopa is a locality or area within the community of Llansamlet in Swansea, Wales.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535e450c8190a2628245ae0d0bd3 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.