Triple

T10621490
Position Surface form Disambiguated ID Type / Status
Subject Bas E250213 entity
Predicate collaboratedWith P435 FINISHED
Object Cozz E534876 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: Cozz | Statement: [Bas, collaboratedWith, Cozz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cozz
Context triple: [Bas, collaboratedWith, Cozz]
  • A. Cozz chosen
    Cozz is an American rapper from Los Angeles known for his introspective lyricism and for being signed to J. Cole’s Dreamville Records.
  • B. Keos
    Keos is the ancient Greek name for the Aegean island now known as Kea, part of the Cyclades archipelago.
  • C. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • D. Asco
    Asco is a small mountain village in the Haute-Corse department of Corsica, France, known as a gateway to the rugged Monte Cinto massif and popular hiking routes.
  • E. Cosey
    Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df70b0288190bf6edd705632ff02 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b908e788190bc9e4f327e871a7f completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:50 p.m.