Triple

T11898613
Position Surface form Disambiguated ID Type / Status
Subject Tyler Gregory Okonma E283094 entity
Predicate founded P104 FINISHED
Object Golf Media E283104 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 Media | Statement: [Tyler Gregory Okonma, founded, Golf Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golf Media
Context triple: [Tyler Gregory Okonma, founded, Golf Media]
  • A. Golf Media chosen
    Golf Media was a subscription-based mobile app and digital platform created by Tyler, the Creator to host original shows, music, and exclusive content for his fans.
  • B. Golf Channel
    Golf Channel is a U.S.-based cable television network dedicated to golf coverage, including live tournaments, news, instruction, and original programming.
  • 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. golf correspondent of The Times
    The golf correspondent of The Times is the specialist journalist responsible for covering golf news, events, and commentary for the British newspaper The Times.
  • E. Golf Galaxy
    Golf Galaxy is a U.S.-based specialty retail chain focused on golf equipment, apparel, 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_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_69f418205b788190a4b1b81d89cf7fff completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.