Triple

T11010254
Position Surface form Disambiguated ID Type / Status
Subject Nonso Anozie E260227 entity
Predicate givenName P17 FINISHED
Object Nonso
Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
E899441 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: Nonso | Statement: [Nonso Anozie, givenName, Nonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nonso
Context triple: [Nonso Anozie, givenName, Nonso]
  • A. Nso
    Nso is a traditional kingdom and ethnic community in Cameroon’s Northwest Region, known for its rich cultural heritage and influential chieftaincy.
  • B. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • C. Nonio
    Nonio is a small Italian town in the Piedmont region, situated on the scenic shores of Lake Orta.
  • D. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • E. Noth
    Noth is a surname most prominently associated with American actor Chris Noth, known for his roles in television series such as "Sex and the City" and "Law & Order."
  • 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: Nonso
Triple: [Nonso Anozie, givenName, Nonso]
Generated description
Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nonso
Target entity description: Nonso is a masculine given name of Igbo origin, commonly used in Nigeria and among the Igbo diaspora.
  • A. Nso
    Nso is a traditional kingdom and ethnic community in Cameroon’s Northwest Region, known for its rich cultural heritage and influential chieftaincy.
  • B. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • C. Nonio
    Nonio is a small Italian town in the Piedmont region, situated on the scenic shores of Lake Orta.
  • D. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • E. Noth
    Noth is a surname most prominently associated with American actor Chris Noth, known for his roles in television series such as "Sex and the City" and "Law & Order."
  • 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_69d79788d44c819084f35693ed96f422 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_69e378dcc92c8190952d4acfee2a309c completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37be75a588190abb9569ef1e87279 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.