Triple

T4441243
Position Surface form Disambiguated ID Type / Status
Subject Mr. Olympia E95774 entity
Predicate hasRelatedTitle P46701 FINISHED
Object Fitness Olympia
Fitness Olympia is a professional IFBB bodybuilding and fitness competition for women, held as part of Joe Weider’s Olympia Weekend.
 E439263 NE FINISHED

How this triple was built (4 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: Fitness Olympia | Statement: [Mr. Olympia, hasRelatedTitle, Fitness Olympia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fitness Olympia
Context triple: [Mr. Olympia, hasRelatedTitle, Fitness Olympia]
  • A. Fitness First
    Fitness First is a global chain of health and fitness clubs offering gym facilities, group exercise classes, and personal training services.
  • B. PureGym
    PureGym is a major UK-based budget fitness chain known for its low-cost, no-contract memberships and 24/7 access gyms.
  • C. LA Fitness
    LA Fitness is a large American chain of full-service health clubs offering gyms, fitness classes, and training facilities across the United States and Canada.
  • D. GYM
    GYM is the National Rail station code for Great Yarmouth railway station in Norfolk, England.
  • E. Sports Training Village
    Sports Training Village is the University of Bath’s main sports complex, renowned for its world-class training facilities used by students, elite athletes, and national teams.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fitness Olympia
Triple: [Mr. Olympia, hasRelatedTitle, Fitness Olympia]
Generated description
Fitness Olympia is a professional IFBB bodybuilding and fitness competition for women, held as part of Joe Weider’s Olympia Weekend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fitness Olympia
Target entity description: Fitness Olympia is a professional IFBB bodybuilding and fitness competition for women, held as part of Joe Weider’s Olympia Weekend.
  • A. Fitness First
    Fitness First is a global chain of health and fitness clubs offering gym facilities, group exercise classes, and personal training services.
  • B. PureGym
    PureGym is a major UK-based budget fitness chain known for its low-cost, no-contract memberships and 24/7 access gyms.
  • C. LA Fitness
    LA Fitness is a large American chain of full-service health clubs offering gyms, fitness classes, and training facilities across the United States and Canada.
  • D. GYM
    GYM is the National Rail station code for Great Yarmouth railway station in Norfolk, England.
  • E. Sports Training Village
    Sports Training Village is the University of Bath’s main sports complex, renowned for its world-class training facilities used by students, elite athletes, and national teams.
  • F. None of above. chosen

Provenance (5 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564216b081908c41109100b36862 completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61380fca08190bf036a7d82cee0e7 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6143adefc81908f6c639906e0fd1a completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b614b00dbc8190a7ea0477bedbc96a completed March 15, 2026, 2:08 a.m.
Created at: March 12, 2026, 11:32 p.m.