Triple

T11899112
Position Surface form Disambiguated ID Type / Status
Subject Golf Media E283104 entity
Predicate brandExtensionOf P10460 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: [Golf Media, brandExtensionOf, Golf Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golf Wang
Context triple: [Golf Media, brandExtensionOf, 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. Golf Galaxy
    Golf Galaxy is a U.S.-based specialty retail chain focused on golf equipment, apparel, and accessories.
  • C. The Golf Specialist
    The Golf Specialist is a 1930 short comedy film starring W.C. Fields as a bumbling golf instructor entangled in a series of slapstick mishaps at a Florida resort.
  • D. Oki Golf
    Oki Golf is a golf course management and ownership company in the Pacific Northwest known for operating a portfolio of public and private golf properties.
  • E. El Golf
    El Golf is a Santiago Metro station on Line 1 located in the upscale financial and commercial district of Las Condes, Santiago, Chile.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43ff588f08190affc45b44b9e85e3 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.