Triple

T13922258
Position Surface form Disambiguated ID Type / Status
Subject Jayna Hefford E334775 entity
Predicate givenName P17 FINISHED
Object Jayna
Jayna is a Canadian former ice hockey forward renowned as one of the most decorated players in women’s hockey history, including multiple Olympic gold medals with Team Canada.
 E1069705 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: Jayna | Statement: [Jayna Hefford, givenName, Jayna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jayna
Context triple: [Jayna Hefford, givenName, Jayna]
  • A. Dayna
    Dayna is a given name, typically used as a feminine variant of the name Dana.
  • B. Jazmyn
    Jazmyn is a feminine given name, often considered a modern or variant spelling of Jasmine.
  • C. Jorja
    Jorja is a feminine given name most notably associated with American actress Jorja Fox.
  • D. Jayne
    Jayne is a surname most notably associated with English actress Jennifer Jayne, known for her work in mid-20th-century British film and television.
  • E. Shayla
    Shayla is a feminine given name, often considered a modern or variant spelling of names like Sheila or Shayla-related forms.
  • 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: Jayna
Triple: [Jayna Hefford, givenName, Jayna]
Generated description
Jayna is a Canadian former ice hockey forward renowned as one of the most decorated players in women’s hockey history, including multiple Olympic gold medals with Team Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jayna
Target entity description: Jayna is a Canadian former ice hockey forward renowned as one of the most decorated players in women’s hockey history, including multiple Olympic gold medals with Team Canada.
  • A. Dayna
    Dayna is a given name, typically used as a feminine variant of the name Dana.
  • B. Jazmyn
    Jazmyn is a feminine given name, often considered a modern or variant spelling of Jasmine.
  • C. Jorja
    Jorja is a feminine given name most notably associated with American actress Jorja Fox.
  • D. Jayne
    Jayne is a surname most notably associated with English actress Jennifer Jayne, known for her work in mid-20th-century British film and television.
  • E. Shayla
    Shayla is a feminine given name, often considered a modern or variant spelling of names like Sheila or Shayla-related forms.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa5c1f481908a9d8786872f08fe completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7ecb488190b96f67cad4b91968 completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:16 p.m.