Triple

T13059900
Position Surface form Disambiguated ID Type / Status
Subject God’s Plan E329169 entity
Predicate writer P1360 FINISHED
Object Aubrey Graham E65206 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: Aubrey Graham | Statement: [God’s Plan, writer, Aubrey Graham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubrey Graham
Context triple: [God’s Plan, writer, Aubrey Graham]
  • A. Aubrey Graham chosen
    Aubrey Graham, better known by his stage name Drake, is a Canadian rapper, singer, songwriter, and actor who became one of the most influential figures in contemporary hip hop and R&B.
  • B. Jeremy Bieber
    Jeremy Bieber is a Canadian man best known as the father of pop singer Justin Bieber.
  • C. Daniel Mookhey
    Daniel Mookhey is an Australian Labor politician who serves as the Treasurer of New South Wales in the Minns government.
  • D. Drake Bell
    Drake Bell is an American actor, voice actor, and musician best known for his starring role on the Nickelodeon series "Drake & Josh" and various voice roles in animated superhero shows.
  • E. Jordan Fisher
    Jordan Fisher is an American actor, singer, and dancer known for his work in film, television, Broadway, and voice acting.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980be37208190962e91f1e19df159 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe259408190a7e88482c96f24a9 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.