Triple

T20517943
Position Surface form Disambiguated ID Type / Status
Subject Alfred Bester E503728 entity
Predicate network P2637 FINISHED
Object PTEN
PTEN is a tumor suppressor gene encoding a phosphatase that negatively regulates the PI3K/AKT signaling pathway and is frequently mutated in various human cancers.
 E1436032 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: PTEN | Statement: [Alfred Bester, network, PTEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PTEN
Context triple: [Alfred Bester, network, PTEN]
  • 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. PTPN
    PTPN is the ICAO airport code for Pohnpei International Airport in the Federated States of Micronesia.
  • D. BRCA2 gene
    The BRCA2 gene is a human tumor suppressor gene whose mutations are strongly associated with an increased risk of breast, ovarian, and other cancers.
  • E. PLCγ2
    PLCγ2 is a phospholipase C isoform that functions as a key signaling enzyme in immune cells, mediating receptor-induced calcium mobilization and downstream activation pathways.
  • 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: PTEN
Triple: [Alfred Bester, network, PTEN]
Generated description
PTEN is a tumor suppressor gene encoding a phosphatase that negatively regulates the PI3K/AKT signaling pathway and is frequently mutated in various human cancers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PTEN
Target entity description: PTEN is a tumor suppressor gene encoding a phosphatase that negatively regulates the PI3K/AKT signaling pathway and is frequently mutated in various human cancers.
  • 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. PTPN
    PTPN is the ICAO airport code for Pohnpei International Airport in the Federated States of Micronesia.
  • D. BRCA2 gene
    The BRCA2 gene is a human tumor suppressor gene whose mutations are strongly associated with an increased risk of breast, ovarian, and other cancers.
  • E. PLCγ2
    PLCγ2 is a phospholipase C isoform that functions as a key signaling enzyme in immune cells, mediating receptor-induced calcium mobilization and downstream activation pathways.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f43e0b08190b043f35645b264a0 completed April 20, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d3d55a08190b478b4b8f50ff101 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089e5816308190979cd7ab78a0c0f6 completed May 16, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a089ecd0f988190afc859a511a18f7b completed May 16, 2026, 4:43 p.m.
Created at: April 16, 2026, 11:36 a.m.