Triple

T32195886

Position	Surface form	Disambiguated ID	Type / Status
Subject	chronic lymphocytic leukemia	`E822402`	entity
Predicate	transformationSyndromeName	`P153793`	FINISHED
Object	Richter transformation Richter transformation is an aggressive clinical syndrome in which chronic lymphocytic leukemia evolves into a high-grade lymphoma, most commonly diffuse large B-cell lymphoma.	`E1995657`	NE FINISHED

How this triple was built (3 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: Richter transformation | Statement: [chronic lymphocytic leukemia, transformationSyndromeName, Richter transformation]

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: Richter transformation
Triple: [chronic lymphocytic leukemia, transformationSyndromeName, Richter transformation]

Generated description

Richter transformation is an aggressive clinical syndrome in which chronic lymphocytic leukemia evolves into a high-grade lymphoma, most commonly diffuse large B-cell lymphoma.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: transformationSyndromeName
Context triple: [chronic lymphocytic leukemia, transformationSyndromeName, Richter transformation]

A. conversionName
Indicates that one entity is the name or label assigned to a specific conversion event or conversion process associated with another entity.
B. systematicName
Indicates that one entity is the formal, systematically constructed name assigned to the other entity according to a specific naming convention or standard.
C. transformType
Indicates that one entity is converted or changed from its original form into another specified type or form.
D. diseaseName chosen
Indicates that the associated value specifies the name or designation of a particular disease.
E. changesNameTo
Indicates that an entity alters its current name and adopts a new specified name.
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_69f3490819cc81909bae1f8ce99423c5`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69fe8ddf70e48190a917eb9e8f7b6966`	completed	May 9, 2026, 1:29 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2f0bec98288190b1480ba26b1e4eb6`	completed	June 14, 2026, 8:15 p.m.
NEDg	Description generation	`batch_6a2f0ca5db008190a1de72d58c55d0bb`	completed	June 14, 2026, 8:18 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2f0e1ead7c8190bada929583412e06`	completed	June 14, 2026, 8:25 p.m.
PD	Predicate disambiguation	`batch_69fe87ef94dc81909bb00ec8d6de9bcd`	completed	May 9, 2026, 1:03 a.m.

Created at: May 1, 2026, 12:35 a.m.