Triple

T21825622
Position Surface form Disambiguated ID Type / Status
Subject South African Music Award E538845 entity
Predicate alsoKnownAs P39 FINISHED
Object SAMA
SAMA is an annual South African music awards ceremony that recognizes outstanding achievements across the country’s music industry.
 E1503892 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: SAMA | Statement: [South African Music Award, alsoKnownAs, SAMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAMA
Context triple: [South African Music Award, alsoKnownAs, SAMA]
  • A. SAMO
    SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
  • B. SAMSA
    SAMSA is the national agency responsible for regulating and promoting maritime safety, security, and environmental protection in South Africa’s waters.
  • C. SAMS
    SAMS is the Swiss Academy of Medical Sciences, a national institution that promotes medical research, ethics, and healthcare policy in Switzerland.
  • D. SAVAMA
    SAVAMA was the post-revolution Iranian intelligence and security organization that succeeded the Shah’s notorious secret police, SAVAK.
  • E. For SAAM
    For SAAM is a text-based installation artwork by Jenny Holzer that uses her signature LED display format to present thought-provoking, politically charged language within a museum context.
  • 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: SAMA
Triple: [South African Music Award, alsoKnownAs, SAMA]
Generated description
SAMA is an annual South African music awards ceremony that recognizes outstanding achievements across the country’s music industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAMA
Target entity description: SAMA is an annual South African music awards ceremony that recognizes outstanding achievements across the country’s music industry.
  • A. SAMO
    SAMO was the graffiti tag and artistic persona used by Jean-Michel Basquiat in late-1970s New York City, known for its cryptic, poetic street art.
  • B. SAMSA
    SAMSA is the national agency responsible for regulating and promoting maritime safety, security, and environmental protection in South Africa’s waters.
  • C. SAMS
    SAMS is the Swiss Academy of Medical Sciences, a national institution that promotes medical research, ethics, and healthcare policy in Switzerland.
  • D. SAVAMA
    SAVAMA was the post-revolution Iranian intelligence and security organization that succeeded the Shah’s notorious secret police, SAVAK.
  • E. For SAAM
    For SAAM is a text-based installation artwork by Jenny Holzer that uses her signature LED display format to present thought-provoking, politically charged language within a museum context.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f09131a5588190a906f70dd9e7f0b1 completed April 28, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e50d548190aaf4ac0bf6fcd028 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a478555f48190a5dec30d212817fa completed May 17, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4816a85c8190b086b93851ddd11c completed May 17, 2026, 10:58 p.m.
Created at: April 16, 2026, 6:54 p.m.