Triple

T12592076
Position Surface form Disambiguated ID Type / Status
Subject Lisa E300630 entity
Predicate hasVariant P455 FINISHED
Object Lysa
Lysa is a feminine given name, often used as a variant of Lisa or Alyssa.
E993838 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: Lysa | Statement: [Lisa, hasVariant, Lysa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysa
Context triple: [Lisa, hasVariant, Lysa]
  • A. Lysa Hayland
    Lysa Hayland is the wife of American actor, director, and producer Grant Heslov.
  • B. Moira Ross
    Moira Ross is a British television producer best known for her senior production role on the popular dance competition show Strictly Come Dancing.
  • C. Gelis Stewart
    Gelis Stewart, also known as Egidia Stewart, was a medieval Scottish noblewoman of the Stewart family, noted in historical records for her connections to the early Stewart dynasty.
  • D. Leira
    Leira is a river in southeastern Norway that serves as one of the tributaries feeding into the country’s longest river, the Glomma.
  • E. Shae-Lynn Bourne
    Shae-Lynn Bourne is a Canadian former ice dancer and renowned figure skating choreographer known for creating innovative, expressive programs for many of the world’s top skaters.
  • 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: Lysa
Triple: [Lisa, hasVariant, Lysa]
Generated description
Lysa is a feminine given name, often used as a variant of Lisa or Alyssa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lysa
Target entity description: Lysa is a feminine given name, often used as a variant of Lisa or Alyssa.
  • A. Lysa Hayland
    Lysa Hayland is the wife of American actor, director, and producer Grant Heslov.
  • B. Moira Ross
    Moira Ross is a British television producer best known for her senior production role on the popular dance competition show Strictly Come Dancing.
  • C. Gelis Stewart
    Gelis Stewart, also known as Egidia Stewart, was a medieval Scottish noblewoman of the Stewart family, noted in historical records for her connections to the early Stewart dynasty.
  • D. Leira
    Leira is a river in southeastern Norway that serves as one of the tributaries feeding into the country’s longest river, the Glomma.
  • E. Shae-Lynn Bourne
    Shae-Lynn Bourne is a Canadian former ice dancer and renowned figure skating choreographer known for creating innovative, expressive programs for many of the world’s top skaters.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66308087c81908ab5b5795f255e37 completed May 2, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:07 p.m.