Triple

T12572746
Position Surface form Disambiguated ID Type / Status
Subject American Historical Association E295644 entity
Predicate shortName P43 FINISHED
Object AHA
AHA is a major professional organization in the United States dedicated to promoting the study and teaching of history.
 E990267 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 Historical Association, shortName, AHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHA
Context triple: [American Historical Association, shortName, AHA]
  • A. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • B. AHA
    AHA is a leading U.S. nonprofit organization dedicated to fighting cardiovascular diseases and promoting heart health through research, education, and public advocacy.
  • C. AHT
    AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • D. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • E. 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.
  • 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 Historical Association, shortName, AHA]
Generated description
AHA is a major professional organization in the United States dedicated to promoting the study and teaching of history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHA
Target entity description: AHA is a major professional organization in the United States dedicated to promoting the study and teaching of history.
  • A. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • B. AHA
    AHA is a leading U.S. nonprofit organization dedicated to fighting cardiovascular diseases and promoting heart health through research, education, and public advocacy.
  • C. AHT
    AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
  • D. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • E. 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.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a52c788190beac128a97e34dc1 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65595826081908035655f7930f55a completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a86ff48190bd3debd30e11df80 completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 11:50 p.m.