Triple

T16837535
Position Surface form Disambiguated ID Type / Status
Subject Jahaan Sweet E409320 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Drake E65589 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: Drake | Statement: [Jahaan Sweet, hasCollaboratedWith, Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drake
Context triple: [Jahaan Sweet, hasCollaboratedWith, Drake]
  • A. Drake chosen
    Drake is a Canadian rapper, singer, and songwriter who became one of the most commercially successful and influential hip-hop and pop artists of the 21st century.
  • B. Drake
    Drake is the nickname of Enzo Ferrari, the legendary Italian founder of the Ferrari automobile marque and racing team.
  • C. Drake
    Drake is the primary vampire antagonist in the film "Blade: Trinity," depicted as an ancient and powerful progenitor of the vampire race.
  • D. Drake
    Drake is a common English surname of Old English origin, historically associated with meanings such as “dragon” or “male duck” and borne by various notable figures.
  • E. Drake
    Drake is a small rural town in northern New South Wales, Australia, known historically for mining and its location on the Bruxner Highway between Tenterfield and Casino.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34e080c8190bf7a236205b41db2 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.