Triple

T12990200
Position Surface form Disambiguated ID Type / Status
Subject Thomas N'Kono E321882 entity
Predicate familyName P18 FINISHED
Object N'Kono
N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
E1013928 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: N'Kono | Statement: [Thomas N'Kono, familyName, N'Kono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N'Kono
Context triple: [Thomas N'Kono, familyName, N'Kono]
  • A. Konjo
    Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
  • B. Makokou
    Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
  • C. Okuku
    Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
  • D. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • E. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • 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: N'Kono
Triple: [Thomas N'Kono, familyName, N'Kono]
Generated description
N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N'Kono
Target entity description: N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
  • A. Konjo
    Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
  • B. Makokou
    Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
  • C. Okuku
    Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
  • D. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • E. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e75b9f88190a54372c2a1223a4e completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6baa76e8c8190b84fd31657ef3385 completed May 3, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:43 p.m.