Triple

T35707235
Position Surface form Disambiguated ID Type / Status
Subject 2016 Wimbledon Championships E1031750 entity
Predicate wheelchairWomenSinglesChampion P157768 FINISHED
Object Jordanne Whiley
Jordanne Whiley is a British wheelchair tennis player and multiple Grand Slam champion renowned for her success in singles and doubles at the sport’s highest level.
 E2151288 NE FINISHED

How this triple was built (3 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: Jordanne Whiley | Statement: [2016 Wimbledon Championships, wheelchairWomenSinglesChampion, Jordanne Whiley]
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: Jordanne Whiley
Triple: [2016 Wimbledon Championships, wheelchairWomenSinglesChampion, Jordanne Whiley]
Generated description
Jordanne Whiley is a British wheelchair tennis player and multiple Grand Slam champion renowned for her success in singles and doubles at the sport’s highest level.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wheelchairWomenSinglesChampion
Context triple: [2016 Wimbledon Championships, wheelchairWomenSinglesChampion, Jordanne Whiley]
  • A. wheelchairChampion chosen
    Indicates that an entity has won a championship or major title in a wheelchair-based sport or competition.
  • B. wheelchairDivision
    Indicates that an entity participates in or is associated with a competition, league, or category specifically designated for wheelchair users.
  • C. wheelchairEventsIncluded
    Indicates that the specified events explicitly include or accommodate the use of wheelchairs.
  • D. ladiesSinglesChampion
    Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
  • E. womenAllAroundChampion
    Indicates that women are present surrounding or on all sides of the champion.
  • F. None of above.

Provenance (6 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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38729dc0988190b94f61bf98787ca6 completed June 21, 2026, 11:24 p.m.
NEDg Description generation batch_6a38730bbf348190b9ad5a1ef6a659a8 completed June 21, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a3873fd9ccc8190ac41f5aaf772bde6 completed June 21, 2026, 11:30 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:05 p.m.