Triple

T21760071
Position Surface form Disambiguated ID Type / Status
Subject Ibanez guitars E537138 entity
Predicate hasSignatureModelFor P91561 FINISHED
Object Tosin Abasi NE NERFINISHED

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: Tosin Abasi | Statement: [Ibanez guitars, hasSignatureModelFor, Tosin Abasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tosin Abasi
Context triple: [Ibanez guitars, hasSignatureModelFor, Tosin Abasi]
  • A. Tosin Abasi chosen
    Tosin Abasi is a Nigerian-American guitarist and composer best known as the founder of the progressive metal band Animals as Leaders and for his highly technical, innovative extended-range guitar playing.
  • B. Tunde King
    Tunde King was a pioneering Nigerian musician credited with helping to develop and popularize early Jùjú music in the 1930s.
  • C. Tunde Williams
    Tunde Williams is a musician best known for his role in Fela Kuti’s influential Afrobeat band Africa 70.
  • D. Tunde Adebimpe
    Tunde Adebimpe is an American musician, actor, and visual artist best known as the lead singer of the experimental rock band TV on the Radio and for his roles in independent films.
  • E. Samson Kayo
    Samson Kayo is a British actor and comedian known for his roles in television comedies such as "Timewasters," "Famalam," and "Bloods."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d90eaa081909fce0549a9df1bf0 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.