Triple

T11010897
Position Surface form Disambiguated ID Type / Status
Subject Alex Magaisa E260243 entity
Predicate familyName P18 FINISHED
Object Magaisa
Magaisa is a Zimbabwean surname most notably associated with the late constitutional law expert and political commentator Alex Magaisa.
 E899498 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: Magaisa | Statement: [Alex Magaisa, familyName, Magaisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magaisa
Context triple: [Alex Magaisa, familyName, Magaisa]
  • A. Maira
    Maira is a given name used in various cultures, often as a variant of names like Maera, Maria, or Mary.
  • B. Marida
    Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
  • C. Marisa
    Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • D. Mestra
    Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
  • E. Mariani
    Mariani is a town in Assam, India, known as a key railway hub in the region.
  • 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: Magaisa
Triple: [Alex Magaisa, familyName, Magaisa]
Generated description
Magaisa is a Zimbabwean surname most notably associated with the late constitutional law expert and political commentator Alex Magaisa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magaisa
Target entity description: Magaisa is a Zimbabwean surname most notably associated with the late constitutional law expert and political commentator Alex Magaisa.
  • A. Maira
    Maira is a given name used in various cultures, often as a variant of names like Maera, Maria, or Mary.
  • B. Marida
    Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
  • C. Marisa
    Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • D. Mestra
    Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
  • E. Mariani
    Mariani is a town in Assam, India, known as a key railway hub in the region.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797899a388190aa8fe813eac4dba7 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e378df767c819099d0bfdf35eaf5f3 completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37bf526108190b5fc22569fe6be54 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.