Triple

T17514546
Position Surface form Disambiguated ID Type / Status
Subject The Evolution of Robin Thicke E426533 entity
Predicate containsCollaborationWith P126368 FINISHED
Object Lil Wayne 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: Lil Wayne | Statement: [The Evolution of Robin Thicke, containsCollaborationWith, Lil Wayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lil Wayne
Context triple: [The Evolution of Robin Thicke, containsCollaborationWith, Lil Wayne]
  • A. Lil Wayne chosen
    Lil Wayne is a Grammy-winning American rapper, singer, and songwriter known for his influential role in hip-hop and prolific output since the late 1990s.
  • B. Nelly
    Nelly is a Canadian singer-songwriter known for her eclectic pop sound and hits like "I'm Like a Bird" and "Promiscuous."
  • C. Nelly
    Nelly is an American rapper, singer, and songwriter known for early-2000s hits like "Hot in Herre" and "Dilemma."
  • D. Nelly
    Nelly is a diminutive given name commonly used as a short form of Cornelia and related names.
  • E. Wiz Khalifa
    Wiz Khalifa is an American rapper, singer, and songwriter known for hits like "Black and Yellow" and his laid-back, weed-centric persona.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525fa0c48190b42b36c40db7ed7f completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.