Triple

T10189251
Position Surface form Disambiguated ID Type / Status
Subject American Heart Association E237989 entity
Predicate abbreviation P43 FINISHED
Object AHA
AHA is a leading U.S. nonprofit organization dedicated to fighting cardiovascular diseases and promoting heart health through research, education, and public advocacy.
 E846766 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: AHA | Statement: [American Heart Association, abbreviation, AHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHA
Context triple: [American Heart Association, abbreviation, AHA]
  • A. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • B. AHT
    AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • C. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • D. Aha
    Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
  • E. AHS
    AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • 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: AHA
Triple: [American Heart Association, abbreviation, AHA]
Generated description
AHA is a leading U.S. nonprofit organization dedicated to fighting cardiovascular diseases and promoting heart health through research, education, and public advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHA
Target entity description: AHA is a leading U.S. nonprofit organization dedicated to fighting cardiovascular diseases and promoting heart health through research, education, and public advocacy.
  • A. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • B. AHT
    AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • C. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • D. Aha
    Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
  • E. AHS
    AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d319937ec08190bf5442a7e3a9ba9f completed April 6, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69d31a39d73481908cf5713205f910fb completed April 6, 2026, 2:28 a.m.
Created at: March 30, 2026, 9:12 p.m.