Triple

T10837726
Position Surface form Disambiguated ID Type / Status
Subject Bruton tyrosine kinase E255805 entity
Predicate encodedByGene P90097 FINISHED
Object BTK gene E255805 NE FINISHED

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: BTK gene | Statement: [Bruton tyrosine kinase, encodedByGene, BTK gene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BTK gene
Context triple: [Bruton tyrosine kinase, encodedByGene, BTK gene]
  • A. Bruton tyrosine kinase chosen
    Bruton tyrosine kinase is a key signaling enzyme in B cells that plays a crucial role in their development and function and is a major therapeutic target in certain blood cancers and autoimmune diseases.
  • B. CLL
    CLL is the IATA airport code for Easterwood Airport, a regional airport serving College Station, Texas.
  • C. CD20 protein
    CD20 protein is a cell-surface antigen found primarily on B lymphocytes and is a key therapeutic target in certain autoimmune diseases and B-cell malignancies.
  • D. chronic lymphocytic leukemia
    Chronic lymphocytic leukemia is a slow-growing cancer of the blood and bone marrow characterized by an overproduction of abnormal lymphocytes, most commonly affecting older adults.
  • E. IL-64
    IL-64 is a major east–west state highway in Illinois that runs from the Mississippi River through the Chicago metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d747002b3081908726901ee83d8f38 completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb139072081908a67e76a83575c32 completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.