Triple

T10311543
Position Surface form Disambiguated ID Type / Status
Subject Mamoudou Athie E241901 entity
Predicate givenName P17 FINISHED
Object Mamoudou
Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
E855714 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: Mamoudou | Statement: [Mamoudou Athie, givenName, Mamoudou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamoudou
Context triple: [Mamoudou Athie, givenName, Mamoudou]
  • A. Moussa
    Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
  • B. Si Moussa
    Si Moussa was a powerful 19th-century grand vizier of Morocco who served under Sultan Hassan I and commissioned the opulent Bahia Palace in Marrakech.
  • C. Amidou
    Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
  • D. Idrissa
    Idrissa is the given first name of British actor, producer, and musician Idris Elba.
  • E. Khadimou
    Khadimou is the given name of Khadimou Rassoul Cheikh Fall, better known as the Senegalese rapper and songwriter Sheck Wes.
  • 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: Mamoudou
Triple: [Mamoudou Athie, givenName, Mamoudou]
Generated description
Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mamoudou
Target entity description: Mamoudou is a masculine given name of West African origin, notably borne by Mauritanian-American actor Mamoudou Athie.
  • A. Moussa
    Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
  • B. Si Moussa
    Si Moussa was a powerful 19th-century grand vizier of Morocco who served under Sultan Hassan I and commissioned the opulent Bahia Palace in Marrakech.
  • C. Amidou
    Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
  • D. Idrissa
    Idrissa is the given first name of British actor, producer, and musician Idris Elba.
  • E. Khadimou
    Khadimou is the given name of Khadimou Rassoul Cheikh Fall, better known as the Senegalese rapper and songwriter Sheck Wes.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73186831481909555e2205d8783a7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d732bfc76c819089287477b54a7b77 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:47 a.m.