Triple

T5253058
Position Surface form Disambiguated ID Type / Status
Subject Pat Evison E118633 entity
Predicate birthName P65 FINISHED
Object Helen Patricia Evison
Helen Patricia Evison, better known as Pat Evison, was a notable New Zealand actress recognized for her work in film, television, and theatre.
E509454 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: Helen Patricia Evison | Statement: [Pat Evison, birthName, Helen Patricia Evison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Patricia Evison
Context triple: [Pat Evison, birthName, Helen Patricia Evison]
  • A. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • B. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • C. Helen Muir
    Helen Muir was the daughter of famed naturalist and conservationist John Muir, who helped preserve and promote her father's legacy.
  • D. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • E. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • 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: Helen Patricia Evison
Triple: [Pat Evison, birthName, Helen Patricia Evison]
Generated description
Helen Patricia Evison, better known as Pat Evison, was a notable New Zealand actress recognized for her work in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Patricia Evison
Target entity description: Helen Patricia Evison, better known as Pat Evison, was a notable New Zealand actress recognized for her work in film, television, and theatre.
  • A. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • B. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • C. Helen Muir
    Helen Muir was the daughter of famed naturalist and conservationist John Muir, who helped preserve and promote her father's legacy.
  • D. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • E. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10cdb614819092621690e836338e completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf11949c8c8190ad3643d1accdf8a4 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf11f901e08190b1d708ed88ea7865 completed March 21, 2026, 9:47 p.m.
Created at: March 20, 2026, 1:50 p.m.