Triple

T22802939
Position Surface form Disambiguated ID Type / Status
Subject The World’s Greatest Athlete E564448 entity
Predicate mainCharacter P1183 FINISHED
Object Gazenga
Gazenga is a fictional character portrayed as an extraordinary, almost superhuman athlete renowned for unmatched physical prowess and competitive dominance.
 E1555751 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: Gazenga | Statement: [The World’s Greatest Athlete, mainCharacter, Gazenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gazenga
Context triple: [The World’s Greatest Athlete, mainCharacter, Gazenga]
  • A. Luchazi
    Luchazi is a Bantu language spoken primarily by the Luchazi people in eastern Angola and neighboring regions.
  • B. Lundazi
    Lundazi is a rural town in eastern Zambia known as an administrative and trading center near the border with Malawi.
  • C. Wamba
    Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
  • D. Wamba
    Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
  • E. Wamba
    Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
  • 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: Gazenga
Triple: [The World’s Greatest Athlete, mainCharacter, Gazenga]
Generated description
Gazenga is a fictional character portrayed as an extraordinary, almost superhuman athlete renowned for unmatched physical prowess and competitive dominance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gazenga
Target entity description: Gazenga is a fictional character portrayed as an extraordinary, almost superhuman athlete renowned for unmatched physical prowess and competitive dominance.
  • A. Luchazi
    Luchazi is a Bantu language spoken primarily by the Luchazi people in eastern Angola and neighboring regions.
  • B. Lundazi
    Lundazi is a rural town in eastern Zambia known as an administrative and trading center near the border with Malawi.
  • C. Wamba
    Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
  • D. Wamba
    Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
  • E. Wamba
    Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9b35e08190a3ad478355279253 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba2386bf88190911fe2cd9870023a completed May 18, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2bae9888190a8d115579643695b completed May 18, 2026, 11:37 p.m.
Created at: April 17, 2026, 3:31 p.m.