Triple

T13972307
Position Surface form Disambiguated ID Type / Status
Subject Dustin Johnson E336094 entity
Predicate hasEndorsement P37962 FINISHED
Object TaylorMade E455709 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: TaylorMade | Statement: [Dustin Johnson, hasEndorsement, TaylorMade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TaylorMade
Context triple: [Dustin Johnson, hasEndorsement, TaylorMade]
  • A. TaylorMade Golf chosen
    TaylorMade Golf is a leading golf equipment manufacturer known for its innovative drivers, irons, and other clubs used by many top professional golfers.
  • B. Callaway
    Callaway is a surname most prominently associated with American industrialist and conservationist Cason J. Callaway and the family behind Callaway Gardens in Georgia.
  • C. Titleist
    Titleist is a leading American golf equipment and apparel brand best known for its premium golf balls, clubs, and accessories used widely by professional and amateur players.
  • D. Mizuno
    Mizuno is a Japanese sports equipment and sportswear company known for producing high-quality gear and apparel for a wide range of sports.
  • E. Babolat
    Babolat is a French sports equipment company best known for its high-performance tennis racquets and strings used by many top professional players.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1df334c8190a3d65198cc3d11f6 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.