Triple

T20061755
Position Surface form Disambiguated ID Type / Status
Subject BEACOPP regimen E499491 entity
Predicate alsoKnownAs P39 FINISHED
Object standard BEACOPP
Standard BEACOPP is an intensive multi-drug chemotherapy regimen primarily used to treat advanced-stage Hodgkin lymphoma.
 E1408633 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: standard BEACOPP | Statement: [BEACOPP regimen, alsoKnownAs, standard BEACOPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: standard BEACOPP
Context triple: [BEACOPP regimen, alsoKnownAs, standard BEACOPP]
  • A. BPPC
    BPPC (Basic Patient Privacy Consents) is an IHE IT Infrastructure profile that defines how healthcare systems capture, manage, and enforce patients’ privacy consent directives in electronic health information exchange.
  • B. BEAC
    BEAC is the central bank responsible for issuing currency and conducting monetary policy for the countries of the Central African Economic and Monetary Community (CEMAC).
  • C. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • D. BEP
    BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • E. BEP
    BEP is the National Rail station code for Bermuda Park railway station in England.
  • 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: standard BEACOPP
Triple: [BEACOPP regimen, alsoKnownAs, standard BEACOPP]
Generated description
Standard BEACOPP is an intensive multi-drug chemotherapy regimen primarily used to treat advanced-stage Hodgkin lymphoma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: standard BEACOPP
Target entity description: Standard BEACOPP is an intensive multi-drug chemotherapy regimen primarily used to treat advanced-stage Hodgkin lymphoma.
  • A. BPPC
    BPPC (Basic Patient Privacy Consents) is an IHE IT Infrastructure profile that defines how healthcare systems capture, manage, and enforce patients’ privacy consent directives in electronic health information exchange.
  • B. BEAC
    BEAC is the central bank responsible for issuing currency and conducting monetary policy for the countries of the Central African Economic and Monetary Community (CEMAC).
  • C. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • D. BEP
    BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • E. BEP
    BEP is the National Rail station code for Bermuda Park railway station in England.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637601dc8190a07fc20844093cb7 completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0816108a408190a62065447c1045bb completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816fe5788819095736bd9464cfed5 completed May 16, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_6a08179df70c81908ea5bc596a8ba756 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:38 p.m.