Triple

T13761685
Position Surface form Disambiguated ID Type / Status
Subject Lynn E330623 entity
Predicate hasShortFormOf P8075 FINISHED
Object Marilynn
Marilynn is a feminine given name, often considered a variant of Marilyn or a combination of Mary and Lynn.
E1060139 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: Marilynn | Statement: [Lynn, hasShortFormOf, Marilynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marilynn
Context triple: [Lynn, hasShortFormOf, Marilynn]
  • A. Marilynne
    Marilynne is the given name of Marilynne Robinson, the acclaimed American novelist and essayist known for works such as "Housekeeping" and the "Gilead" series.
  • B. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • C. Mary Lynn
    Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
  • D. Rosalyn
    Rosalyn is a feminine given name, often considered a variant of Rosalind or Rose, typically associated with meanings related to "rose" and beauty.
  • E. Geralyn
    Geralyn is a feminine given name, typically considered a modern or variant form of Geraldine.
  • 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: Marilynn
Triple: [Lynn, hasShortFormOf, Marilynn]
Generated description
Marilynn is a feminine given name, often considered a variant of Marilyn or a combination of Mary and Lynn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marilynn
Target entity description: Marilynn is a feminine given name, often considered a variant of Marilyn or a combination of Mary and Lynn.
  • A. Marilynne
    Marilynne is the given name of Marilynne Robinson, the acclaimed American novelist and essayist known for works such as "Housekeeping" and the "Gilead" series.
  • B. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • C. Mary Lynn
    Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
  • D. Rosalyn
    Rosalyn is a feminine given name, often considered a variant of Rosalind or Rose, typically associated with meanings related to "rose" and beauty.
  • E. Geralyn
    Geralyn is a feminine given name, typically considered a modern or variant form of Geraldine.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8606dbc8190b0f7c38583986141 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7ac4f847c8190ab8be535e5399c79 completed May 3, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7acdf70f8819092700c7b6b619d13 completed May 3, 2026, 8:15 p.m.
Created at: April 9, 2026, 10:09 p.m.