Triple

T12410594
Position Surface form Disambiguated ID Type / Status
Subject African Giant E296502 entity
Predicate producer P490 FINISHED
Object GMK
GMK is a Nigerian music producer known for crafting contemporary Afrobeats and hip-hop sounds, including work on Burna Boy’s “African Giant” era.
 E982583 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: GMK | Statement: [African Giant, producer, GMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMK
Context triple: [African Giant, producer, GMK]
  • A. GMZ
    GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • B. GM
    GM is the station code used to identify GMA Kamuning station in the Manila Metro Rail Transit system.
  • C. GM
    GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
  • D. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • 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: GMK
Triple: [African Giant, producer, GMK]
Generated description
GMK is a Nigerian music producer known for crafting contemporary Afrobeats and hip-hop sounds, including work on Burna Boy’s “African Giant” era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMK
Target entity description: GMK is a Nigerian music producer known for crafting contemporary Afrobeats and hip-hop sounds, including work on Burna Boy’s “African Giant” era.
  • A. GMZ
    GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • B. GM
    GM is the station code used to identify GMA Kamuning station in the Manila Metro Rail Transit system.
  • C. GM
    GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
  • D. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348af5a8819083a075d145b15fd4 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:55 p.m.