Triple

T5929294
Position Surface form Disambiguated ID Type / Status
Subject Annual Enrollment Period E131894 entity
Predicate alsoKnownAs P39 FINISHED
Object AEP
AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
 E554972 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: AEP | Statement: [Annual Enrollment Period, alsoKnownAs, AEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AEP
Context triple: [Annual Enrollment Period, alsoKnownAs, AEP]
  • A. AEP
    AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
  • B. APC
    APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
  • C. APC
    APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
  • D. AET
    AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
  • E. ANEP
    ANEP is Uruguay’s National Administration of Public Education, the autonomous body responsible for overseeing and managing the country’s public education system.
  • 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: AEP
Triple: [Annual Enrollment Period, alsoKnownAs, AEP]
Generated description
AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AEP
Target entity description: AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
  • A. AEP
    AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
  • B. APC
    APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
  • C. APC
    APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
  • D. AET
    AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
  • E. ANEP
    ANEP is Uruguay’s National Administration of Public Education, the autonomous body responsible for overseeing and managing the country’s public education system.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038571d108190b4f3d242c068452f completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c059b08c8190aec3a8ee0119abed completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c11933d081909bb5133ce3bcf7cc completed March 23, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1c31b108190af16c66f6e8a4c25 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 4 p.m.