Triple

T13882775
Position Surface form Disambiguated ID Type / Status
Subject Marni Nixon E333758 entity
Predicate givenName P17 FINISHED
Object Marni
Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
E1068617 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: Marni | Statement: [Marni Nixon, givenName, Marni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marni
Context triple: [Marni Nixon, givenName, Marni]
  • A. Marnie
    Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
  • B. Marnie
    Marnie is the given name of Darcey Bussell, the renowned British ballerina and former principal dancer of The Royal Ballet.
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Martie
    Martie is a diminutive given name, typically used as a familiar or affectionate form of the name Martha.
  • E. Karenna
    Karenna is an American lawyer, author, and environmental activist best known as the daughter of former U.S. Vice President Al Gore.
  • 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: Marni
Triple: [Marni Nixon, givenName, Marni]
Generated description
Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marni
Target entity description: Marni is a feminine given name, often used in English-speaking countries and associated with several notable artists and performers.
  • A. Marnie
    Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
  • B. Marnie
    Marnie is the given name of Darcey Bussell, the renowned British ballerina and former principal dancer of The Royal Ballet.
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Martie
    Martie is a diminutive given name, typically used as a familiar or affectionate form of the name Martha.
  • E. Karenna
    Karenna is an American lawyer, author, and environmental activist best known as the daughter of former U.S. Vice President Al Gore.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0bea4d248190bcbcea9ea875c5f9 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71419b481908a3ef80abec1bf23 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c868bdfc8190a13379363d01568d completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9732d188190a8a7151d21e0a310 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.