Triple

T11351991
Position Surface form Disambiguated ID Type / Status
Subject Apple Design Awards 2022 E268858 entity
Predicate alsoKnownAs P39 FINISHED
Object ADA 2022
ADA 2022 is the 2022 edition of Apple’s annual Apple Design Awards, which recognize outstanding app and game design across the Apple ecosystem.
 E920730 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: ADA 2022 | Statement: [Apple Design Awards 2022, alsoKnownAs, ADA 2022]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADA 2022
Context triple: [Apple Design Awards 2022, alsoKnownAs, ADA 2022]
  • A. ADAAA
    ADAAA is a U.S. federal law that broadened and clarified the protections of the Americans with Disabilities Act by expanding the definition of disability and strengthening civil rights for individuals with disabilities.
  • B. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • C. ADAV
    ADAV was the abbreviation for the General German Workers' Association, one of the first major socialist workers' parties in 19th-century Germany.
  • D. ADEA
    ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
  • E. ADEA
    ADEA is the leading national organization representing academic dentistry and dental education institutions in the United States and Canada.
  • 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: ADA 2022
Triple: [Apple Design Awards 2022, alsoKnownAs, ADA 2022]
Generated description
ADA 2022 is the 2022 edition of Apple’s annual Apple Design Awards, which recognize outstanding app and game design across the Apple ecosystem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADA 2022
Target entity description: ADA 2022 is the 2022 edition of Apple’s annual Apple Design Awards, which recognize outstanding app and game design across the Apple ecosystem.
  • A. ADAAA
    ADAAA is a U.S. federal law that broadened and clarified the protections of the Americans with Disabilities Act by expanding the definition of disability and strengthening civil rights for individuals with disabilities.
  • B. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • C. ADAV
    ADAV was the abbreviation for the General German Workers' Association, one of the first major socialist workers' parties in 19th-century Germany.
  • D. ADEA
    ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
  • E. ADEA
    ADEA is the leading national organization representing academic dentistry and dental education institutions in the United States and Canada.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.