Triple

T18034170
Position Surface form Disambiguated ID Type / Status
Subject Mary Louise E431463 entity
Predicate isVariantOf P455 FINISHED
Object Mary Lou
Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
E1302398 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: Mary Lou | Statement: [Mary Louise, isVariantOf, Mary Lou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Lou
Context triple: [Mary Louise, isVariantOf, Mary Lou]
  • A. Mary Lou
    Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
  • B. Mary Lou
    Mary Lou is the first American woman gymnast to win the Olympic all-around gold medal, achieved at the 1984 Los Angeles Games.
  • C. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • D. Mary Lou Adams
    Mary Lou Adams is best known as the former wife of American pop artist James Rosenquist.
  • E. Mayme Kelso
    Mayme Kelso was an American actress of the silent film era, known for her character roles in early 20th-century cinema.
  • 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: Mary Lou
Triple: [Mary Louise, isVariantOf, Mary Lou]
Generated description
Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Lou
Target entity description: Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
  • A. Mary Lou
    Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
  • B. Mary Lou
    Mary Lou is the first American woman gymnast to win the Olympic all-around gold medal, achieved at the 1984 Los Angeles Games.
  • C. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • D. Mary Lou Adams
    Mary Lou Adams is best known as the former wife of American pop artist James Rosenquist.
  • E. Mayme Kelso
    Mayme Kelso was an American actress of the silent film era, known for her character roles in early 20th-century cinema.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be38766c8190ae95701f4575469c completed April 19, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349b16af88190b1b67765cc133807 completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034af2f26c8190823a7c943632e35f completed May 12, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_6a034ba6c5648190bd3d67b66133e738 completed May 12, 2026, 3:47 p.m.
Created at: April 10, 2026, 10:25 a.m.