Triple

T12544136
Position Surface form Disambiguated ID Type / Status
Subject Yamanaka factors E299917 entity
Predicate hasMember P10 FINISHED
Object c-Myc
c-Myc is a proto-oncogene transcription factor that regulates cell growth, proliferation, and metabolism and is frequently dysregulated in cancer.
 E989513 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: c-Myc | Statement: [Yamanaka factors, hasMember, c-Myc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: c-Myc
Context triple: [Yamanaka factors, hasMember, c-Myc]
  • A. CDK4
    CDK4 is a cyclin-dependent kinase that regulates cell cycle progression and is a key therapeutic target in certain cancers.
  • B. CDK6
    CDK6 is a cyclin-dependent kinase that regulates cell cycle progression and is a key target in certain cancer therapies.
  • C. 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.
  • D. MYB
    MYB is the National Rail station code for London Marylebone railway station, a central London terminus for Chiltern Railways services.
  • E. 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.
  • 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: c-Myc
Triple: [Yamanaka factors, hasMember, c-Myc]
Generated description
c-Myc is a proto-oncogene transcription factor that regulates cell growth, proliferation, and metabolism and is frequently dysregulated in cancer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: c-Myc
Target entity description: c-Myc is a proto-oncogene transcription factor that regulates cell growth, proliferation, and metabolism and is frequently dysregulated in cancer.
  • A. CDK4
    CDK4 is a cyclin-dependent kinase that regulates cell cycle progression and is a key therapeutic target in certain cancers.
  • B. CDK6
    CDK6 is a cyclin-dependent kinase that regulates cell cycle progression and is a key target in certain cancer therapies.
  • C. 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.
  • D. MYB
    MYB is the National Rail station code for London Marylebone railway station, a central London terminus for Chiltern Railways services.
  • E. 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.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655801cac8190b1f9a72f8fed0399 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.