Triple

T13713168
Position Surface form Disambiguated ID Type / Status
Subject Harmonize E328824 entity
Predicate notableWork P4 FINISHED
Object Kainama
"Kainama" is a popular hit song by Tanzanian Bongo Flava artist Harmonize, known for its catchy melody and romantic themes.
E1058063 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: Kainama | Statement: [Harmonize, notableWork, Kainama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kainama
Context triple: [Harmonize, notableWork, Kainama]
  • A. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • B. Kwinana
    Kwinana is an industrial and residential suburb in the southern Perth metropolitan area of Western Australia, known for its heavy industry and coastal location.
  • C. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • D. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • E. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • 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: Kainama
Triple: [Harmonize, notableWork, Kainama]
Generated description
"Kainama" is a popular hit song by Tanzanian Bongo Flava artist Harmonize, known for its catchy melody and romantic themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kainama
Target entity description: "Kainama" is a popular hit song by Tanzanian Bongo Flava artist Harmonize, known for its catchy melody and romantic themes.
  • A. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • B. Kwinana
    Kwinana is an industrial and residential suburb in the southern Perth metropolitan area of Western Australia, known for its heavy industry and coastal location.
  • C. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • D. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • E. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d56a90081908158dcf4ee061fb6 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f7a15f3c908190be380355972def6e completed May 3, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2234390819093814fd435f9c42c completed May 3, 2026, 7:29 p.m.
Created at: April 9, 2026, 9:54 p.m.