Triple

T15920473
Position Surface form Disambiguated ID Type / Status
Subject Oxmo Puccino E386079 entity
Predicate familyName P18 FINISHED
Object Diarra
Diarra is a surname of West African origin, notably borne by French-Malian rapper and lyricist Oxmo Puccino.
E1184070 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: Diarra | Statement: [Oxmo Puccino, familyName, Diarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diarra
Context triple: [Oxmo Puccino, familyName, Diarra]
  • A. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • B. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • C. Dihya
    Dihya, also known as al-Kahina, was a 7th-century Berber queen and military leader who led fierce resistance against the early Muslim expansion in North Africa.
  • D. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • E. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • 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: Diarra
Triple: [Oxmo Puccino, familyName, Diarra]
Generated description
Diarra is a surname of West African origin, notably borne by French-Malian rapper and lyricist Oxmo Puccino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diarra
Target entity description: Diarra is a surname of West African origin, notably borne by French-Malian rapper and lyricist Oxmo Puccino.
  • A. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • B. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • C. Dihya
    Dihya, also known as al-Kahina, was a 7th-century Berber queen and military leader who led fierce resistance against the early Muslim expansion in North Africa.
  • D. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • E. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156818cbc819086c956475ad23825 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a96e508190a64c2be6dc506e86 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb62f3d8881908ede4a9a4b53bef2 completed May 9, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69ffb6f3154481909632913f4d7cfdba completed May 9, 2026, 10:36 p.m.
Created at: April 10, 2026, 4:52 a.m.