Triple

T12321456
Position Surface form Disambiguated ID Type / Status
Subject A Good Time E293737 entity
Predicate label P38 FINISHED
Object Davido Music Worldwide E295781 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 Music Worldwide | Statement: [A Good Time, label, Davido Music Worldwide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davido Music Worldwide
Context triple: [A Good Time, label, Davido Music Worldwide]
  • A. Davido Music Worldwide chosen
    Davido Music Worldwide is a Nigerian record label founded by Afrobeats star Davido, known for signing and promoting prominent African music artists.
  • B. Davido
    Davido is a Nigerian singer, songwriter, and record producer who is one of the leading global stars of contemporary Afrobeats music.
  • C. Burna Boy
    Burna Boy is a Nigerian singer, songwriter, and performer renowned internationally for his fusion of Afrobeats with reggae, dancehall, and pop.
  • D. Wizkid
    Wizkid is a Nigerian singer and songwriter widely recognized as one of the leading global stars of Afrobeats music.
  • E. Avenue Beatz
    Avenue Beatz is a music producer known for crafting contemporary hip-hop and R&B instrumentals and collaborations.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4c2b548190938fff9427f07dc7 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8aa94881908e4c184062037ab5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.