Triple
T4392559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | non-Hodgkin lymphoma |
E99398
|
entity |
| Predicate | hasInfectiousAssociation |
P51727
|
FINISHED |
| Object |
Epstein–Barr virus infection
Epstein–Barr virus infection is a common herpesvirus infection that can cause infectious mononucleosis and is associated with several malignancies, including certain non-Hodgkin lymphomas.
|
E99398
|
NE FINISHED |
How this triple was built (5 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: Epstein–Barr virus infection | Statement: [non-Hodgkin lymphoma, hasInfectiousAssociation, Epstein–Barr virus infection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epstein–Barr virus infection Context triple: [non-Hodgkin lymphoma, hasInfectiousAssociation, Epstein–Barr virus infection]
-
A.
Hodgkin lymphoma
Hodgkin lymphoma is a type of cancer that originates in the lymphatic system, characterized by the presence of abnormal Reed–Sternberg cells and often affecting lymph nodes.
-
B.
Hodgkin
Hodgkin is a surname most famously associated with Dorothy Hodgkin, the Nobel Prize–winning British chemist who advanced the field of X-ray crystallography.
-
C.
Ebola virus disease
Ebola virus disease is a severe, often fatal illness in humans caused by infection with Ebola virus, characterized by fever, hemorrhaging, and organ failure, and known for causing major outbreaks such as the 2014–2016 West Africa epidemic.
-
D.
Zika virus
Zika virus is a mosquito-borne flavivirus that can cause mild illness in adults but is strongly associated with severe birth defects such as microcephaly when contracted during pregnancy.
-
E.
non-Hodgkin lymphoma
Non-Hodgkin lymphoma is a diverse group of blood cancers that originate in the lymphatic system from abnormal lymphocytes and can vary widely in aggressiveness and prognosis.
- 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: Epstein–Barr virus infection Triple: [non-Hodgkin lymphoma, hasInfectiousAssociation, Epstein–Barr virus infection]
Generated description
Epstein–Barr virus infection is a common herpesvirus infection that can cause infectious mononucleosis and is associated with several malignancies, including certain non-Hodgkin lymphomas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Epstein–Barr virus infection Target entity description: Epstein–Barr virus infection is a common herpesvirus infection that can cause infectious mononucleosis and is associated with several malignancies, including certain non-Hodgkin lymphomas.
-
A.
Hodgkin lymphoma
Hodgkin lymphoma is a type of cancer that originates in the lymphatic system, characterized by the presence of abnormal Reed–Sternberg cells and often affecting lymph nodes.
-
B.
Hodgkin
Hodgkin is a surname most famously associated with Dorothy Hodgkin, the Nobel Prize–winning British chemist who advanced the field of X-ray crystallography.
-
C.
Ebola virus disease
Ebola virus disease is a severe, often fatal illness in humans caused by infection with Ebola virus, characterized by fever, hemorrhaging, and organ failure, and known for causing major outbreaks such as the 2014–2016 West Africa epidemic.
-
D.
Zika virus
Zika virus is a mosquito-borne flavivirus that can cause mild illness in adults but is strongly associated with severe birth defects such as microcephaly when contracted during pregnancy.
-
E.
non-Hodgkin lymphoma
chosen
Non-Hodgkin lymphoma is a diverse group of blood cancers that originate in the lymphatic system from abnormal lymphocytes and can vary widely in aggressiveness and prognosis.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfectiousAssociation Context triple: [non-Hodgkin lymphoma, hasInfectiousAssociation, Epstein–Barr virus infection]
-
A.
isReservoirOf
Indicates that one entity serves as a storage source or container holding a particular substance, resource, or quantity for another entity or purpose.
-
B.
associatedOutbreak
Indicates that one entity (such as a case, location, or event) is linked to or involved in a particular outbreak.
-
C.
isPathogenOf
chosen
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
-
D.
hasTargetDisease
Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
-
E.
mayBeComorbidWith
Indicates that two conditions or disorders can occur together in the same individual, potentially influencing each other’s presence or severity.
- F. None of above.
Provenance (6 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35285592881909fcdea225a655950 |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e53385508190ac1261c44672070b |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5e666bcbc819083bbb60309d689e7 |
completed | March 14, 2026, 10:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e6c780248190a2101f35f47ae374 |
completed | March 14, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.