Triple

T17374361
Position Surface form Disambiguated ID Type / Status
Subject Segun Akinola E422397 entity
Predicate givenName P17 FINISHED
Object Segun
Segun is a given name commonly used in Yoruba-speaking communities, often as a shortened form of longer names such as Oluwasegun or Olusegun.
 E1265616 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: Segun | Statement: [Segun Akinola, givenName, Segun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segun
Context triple: [Segun Akinola, givenName, Segun]
  • A. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • B. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • C. Resega
    Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
  • D. Semprún
    Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
  • E. Sé
    Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
  • 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: Segun
Triple: [Segun Akinola, givenName, Segun]
Generated description
Segun is a given name commonly used in Yoruba-speaking communities, often as a shortened form of longer names such as Oluwasegun or Olusegun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segun
Target entity description: Segun is a given name commonly used in Yoruba-speaking communities, often as a shortened form of longer names such as Oluwasegun or Olusegun.
  • A. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • B. Serua
    Serua is a small volcanic island in Indonesia’s Banda Sea, known for its steep terrain, active geology, and remote location within the Banda Arc.
  • C. Resega
    Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
  • D. Semprún
    Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
  • E. Sé
    Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6b71148190bb10e1fac400d6c3 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ff1611c8190a17beb1e23397f02 completed May 11, 2026, 9:22 a.m.
NEDg Description generation batch_6a01a078ae4881909ee0e192032909fd completed May 11, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_6a01a0d9e5348190931ee4df49563ea5 completed May 11, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:44 a.m.