Triple

T5867624
Position Surface form Disambiguated ID Type / Status
Subject Ana Ivanovic E130433 entity
Predicate endorsement P18857 FINISHED
Object Yonex
Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
 E549810 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: Yonex | Statement: [Ana Ivanovic, endorsement, Yonex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yonex
Context triple: [Ana Ivanovic, endorsement, Yonex]
  • A. Daiwa House Industry
    Daiwa House Industry is a major Japanese construction and real estate development company known for large-scale commercial, residential, and mixed-use projects.
  • B. Kayo Sports
    Kayo Sports is an Australian sports streaming service offering live and on-demand coverage of local and international sporting events.
  • C. NOR SHUTTLE
    NOR SHUTTLE is the radio callsign used by Norwegian Air Shuttle, a major low-cost airline based in Norway.
  • D. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • E. Big 5 Sporting Goods
    Big 5 Sporting Goods is a regional American sporting goods retail chain known for offering a wide range of athletic equipment, apparel, and outdoor gear at value-oriented prices.
  • 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: Yonex
Triple: [Ana Ivanovic, endorsement, Yonex]
Generated description
Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yonex
Target entity description: Yonex is a Japanese sports equipment manufacturer best known for its high-quality badminton, tennis, and golf products used by many professional athletes.
  • A. Daiwa House Industry
    Daiwa House Industry is a major Japanese construction and real estate development company known for large-scale commercial, residential, and mixed-use projects.
  • B. Kayo Sports
    Kayo Sports is an Australian sports streaming service offering live and on-demand coverage of local and international sporting events.
  • C. NOR SHUTTLE
    NOR SHUTTLE is the radio callsign used by Norwegian Air Shuttle, a major low-cost airline based in Norway.
  • D. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • E. Big 5 Sporting Goods
    Big 5 Sporting Goods is a regional American sporting goods retail chain known for offering a wide range of athletic equipment, apparel, and outdoor gear at value-oriented prices.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c27e708190b46c707d61c78877 completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d0c5a88190be8dee862e71a0f6 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a2ab17f481908f2d492e4d9d90fb completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a325410c8190925e5d9961baf829 completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:56 p.m.