Triple

T12259243
Position Surface form Disambiguated ID Type / Status
Subject Tiwatope Omolara Savage E292176 entity
Predicate associatedAct P37 FINISHED
Object Davido E61097 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: Davido | Statement: [Tiwatope Omolara Savage, associatedAct, Davido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davido
Context triple: [Tiwatope Omolara Savage, associatedAct, Davido]
  • A. Davido chosen
    Davido is a Nigerian singer, songwriter, and record producer who is one of the leading global stars of contemporary Afrobeats music.
  • B. Wizkid
    Wizkid is a Nigerian singer and songwriter widely recognized as one of the leading global stars of Afrobeats music.
  • C. Adekunle Gold
    Adekunle Gold is a Nigerian singer, songwriter, and graphic designer known for his blend of highlife, Afropop, and contemporary R&B music.
  • D. Don Jazzy
    Don Jazzy is a Nigerian record producer, singer, and entrepreneur best known as the co-founder of Mo’ Hits Records and founder of Mavin Records, influential in shaping contemporary Afrobeats.
  • E. Kizz Daniel
    Kizz Daniel is a Nigerian Afrobeats singer and songwriter known for hit songs like "Woju," "Mama," and "Buga."
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:52 p.m.