Triple

T2619068
Position Surface form Disambiguated ID Type / Status
Subject Tyler, the Creator E58959 entity
Predicate brand P1500 FINISHED
Object Golf Wang E283103 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: Golf Wang | Statement: [Tyler, the Creator, brand, Golf Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golf Wang
Context triple: [Tyler, the Creator, brand, Golf Wang]
  • A. Golf Wang chosen
    Golf Wang is a vibrant streetwear and lifestyle brand known for its bold colors, playful graphics, and skate-inspired aesthetic.
  • B. Mario Golf
    Mario Golf is a sports video game series that combines golf gameplay with characters and elements from Nintendo’s Mario franchise.
  • C. Golf Champion Trophy
    The Golf Champion Trophy, better known as the Claret Jug, is the iconic silver trophy awarded annually to the winner of The Open Championship, golf’s oldest major.
  • D. Hawks Talon GC
    Hawks Talon GC is the official NBA 2K League esports team affiliated with the Atlanta Hawks.
  • E. Golf le Fleur*
    Golf le Fleur* is Tyler, the Creator’s high-end lifestyle and fashion label known for its colorful, playful designs and collaborations across apparel, footwear, and accessories.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8962b348190a059519778ea4dba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b50fa08190abe65b53081cb06b completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.