Triple

T14672610
Position Surface form Disambiguated ID Type / Status
Subject Fújì music E344549 entity
Predicate notableArtist P601 FINISHED
Object Sikiru Ayinde Barrister E1114745 NE FINISHED

How this triple was built (2 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: Sikiru Ayinde Barrister | Statement: [Fújì music, notableArtist, Sikiru Ayinde Barrister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sikiru Ayinde Barrister
Context triple: [Fújì music, notableArtist, Sikiru Ayinde Barrister]
  • A. Sikiru Ayinde Barrister chosen
    Sikiru Ayinde Barrister was a Nigerian musician and bandleader widely regarded as the originator and leading innovator of modern Fuji music.
  • B. Teniola Saraki
    Teniola Saraki is a member of the prominent Saraki family of Nigerian politicians and public figures.
  • C. Fisayo Akinade
    Fisayo Akinade is a British actor best known for his roles in television dramas and comedies, including the Channel 4 series "Cucumber."
  • D. Sikiru Kayode Adetona
    Sikiru Kayode Adetona is a prominent Nigerian traditional ruler and long-reigning monarch of the Ijebu people in Ogun State.
  • E. Funmi Adeola
    Funmi Adeola is a character in the Doctor Who universe, known as the sister of Tanya Adeola in the spin-off series "Class."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb55064cc8190b9669d0b2da61825 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7c7df88190a4e551a12f6e8158 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:27 a.m.