Triple

T12299261
Position Surface form Disambiguated ID Type / Status
Subject Bisi Akande E293173 entity
Predicate givenName P17 FINISHED
Object Bisi
Bisi is a given name commonly used in Nigeria, often as a shortened form of Yoruba names such as Abisola or Abisoye.
E976344 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: Bisi | Statement: [Bisi Akande, givenName, Bisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bisi
Context triple: [Bisi Akande, givenName, Bisi]
  • A. Bikel
    Bikel is a surname most notably associated with Theodore Bikel, an Austrian-American actor, folk singer, and civil rights activist.
  • B. Biss
    Biss is the surname of American pianist and writer Jonathan Biss, known for his interpretations of Beethoven and other classical composers.
  • C. Bikenibeu
    Bikenibeu is a major village and administrative center on Tarawa Atoll in the Pacific island nation of Kiribati.
  • D. Bica
    Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
  • E. Bica
    Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
  • 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: Bisi
Triple: [Bisi Akande, givenName, Bisi]
Generated description
Bisi is a given name commonly used in Nigeria, often as a shortened form of Yoruba names such as Abisola or Abisoye.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bisi
Target entity description: Bisi is a given name commonly used in Nigeria, often as a shortened form of Yoruba names such as Abisola or Abisoye.
  • A. Bikel
    Bikel is a surname most notably associated with Theodore Bikel, an Austrian-American actor, folk singer, and civil rights activist.
  • B. Biss
    Biss is the surname of American pianist and writer Jonathan Biss, known for his interpretations of Beethoven and other classical composers.
  • C. Bikenibeu
    Bikenibeu is a major village and administrative center on Tarawa Atoll in the Pacific island nation of Kiribati.
  • D. Bica
    Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
  • E. Bica
    Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7b88d08190a195a294a7fbd168 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f620759f348190baa9af5b33d4e37f completed May 2, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69f624bf23948190b182e4c31564d210 completed May 2, 2026, 4:22 p.m.
Created at: April 8, 2026, 9:52 p.m.