Triple

T20061753
Position Surface form Disambiguated ID Type / Status
Subject BEACOPP regimen E499491 entity
Predicate alsoKnownAs P39 FINISHED
Object BEACOPP
BEACOPP is an intensive multi-drug chemotherapy regimen primarily used to treat advanced-stage Hodgkin lymphoma.
 E1409053 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: BEACOPP | Statement: [BEACOPP regimen, alsoKnownAs, BEACOPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BEACOPP
Context triple: [BEACOPP regimen, alsoKnownAs, BEACOPP]
  • A. 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).
  • B. BEAS
    BEAS is the station code for Beas railway station, a rail transport hub serving the town of Beas in Punjab, India.
  • C. BEAS
    BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
  • D. Bep
    Bep is the nickname of Bep Voskuijl, one of the Dutch helpers who aided Anne Frank and her family during their time in hiding.
  • E. B-O-P
    B-O-P is a musical project by GM B-O-P, likely focused on producing and performing original music under this alias.
  • 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: BEACOPP
Triple: [BEACOPP regimen, alsoKnownAs, BEACOPP]
Generated description
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: BEACOPP
Target entity description: BEACOPP is an intensive multi-drug chemotherapy regimen primarily used to treat advanced-stage Hodgkin lymphoma.
  • A. 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).
  • B. BEAS
    BEAS is the station code for Beas railway station, a rail transport hub serving the town of Beas in Punjab, India.
  • C. BEAS
    BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
  • D. Bep
    Bep is the nickname of Bep Voskuijl, one of the Dutch helpers who aided Anne Frank and her family during their time in hiding.
  • E. B-O-P
    B-O-P is a musical project by GM B-O-P, likely focused on producing and performing original music under this alias.
  • 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_6a081798cb48819084ab456f79b68eb9 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:38 p.m.