Triple

T3291329
Position Surface form Disambiguated ID Type / Status
Subject Fatou Bensouda E69107 entity
Predicate givenName P17 FINISHED
Object Fatou
Fatou is a feminine given name commonly used in West Africa, particularly among speakers of Wolof and other Senegalese languages.
E345062 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: Fatou | Statement: [Fatou Bensouda, givenName, Fatou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatou
Context triple: [Fatou Bensouda, givenName, Fatou]
  • A. Fatoua
    Fatoua is a small genus of flowering plants in the mulberry family, known for herbaceous species native to parts of Asia and the Pacific.
  • B. Fa d’Ambô
    Fa d’Ambô is a Portuguese-based creole language spoken primarily on the island of Annobón in Equatorial Guinea.
  • C. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • D. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • E. Bab Ftouh
    Bab Ftouh is a historic city gate of Fez, Morocco, marking one of the main entrances to the old medina.
  • 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: Fatou
Triple: [Fatou Bensouda, givenName, Fatou]
Generated description
Fatou is a feminine given name commonly used in West Africa, particularly among speakers of Wolof and other Senegalese languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fatou
Target entity description: Fatou is a feminine given name commonly used in West Africa, particularly among speakers of Wolof and other Senegalese languages.
  • A. Fatoua
    Fatoua is a small genus of flowering plants in the mulberry family, known for herbaceous species native to parts of Asia and the Pacific.
  • B. Fa d’Ambô
    Fa d’Ambô is a Portuguese-based creole language spoken primarily on the island of Annobón in Equatorial Guinea.
  • C. Bittou
    Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
  • D. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • E. Bab Ftouh
    Bab Ftouh is a historic city gate of Fez, Morocco, marking one of the main entrances to the old medina.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05d0c908190a927d1af78e27de0 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8654e8481908f4a8efa219edc54 completed March 12, 2026, 4:23 p.m.
NEDg Description generation batch_69b2ec67e79c8190b29970f856c7e5cf completed March 12, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_69b2ed1b17a88190ac06092ad012bd9b completed March 12, 2026, 4:43 p.m.
Created at: March 8, 2026, 3:10 p.m.