Triple

T10047716
Position Surface form Disambiguated ID Type / Status
Subject Candice Swanepoel E207658 entity
Predicate hasModeledFor P17880 FINISHED
Object Diesel E356396 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: Diesel | Statement: [Candice Swanepoel, hasModeledFor, Diesel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diesel
Context triple: [Candice Swanepoel, hasModeledFor, Diesel]
  • A. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • B. Diesel (brand) chosen
    Diesel is an Italian fashion brand known for its premium denim, edgy casualwear, and bold, youth-oriented lifestyle products.
  • C. Dynamo Diesel
    Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
  • D. Mack
    Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
  • E. Van Doos
    Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf664dd881908786fcd802bf10da completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2828f3980819083d041f09e63d8e6 completed April 5, 2026, 3:41 p.m.
Created at: March 30, 2026, 8:56 p.m.