Triple

T3569081
Position Surface form Disambiguated ID Type / Status
Subject Kennedy E75523 entity
Predicate hasVariant P455 FINISHED
Object Kennedie
Kennedie is a given name that functions as an alternative spelling variant of the more common name Kennedy.
E369912 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: Kennedie | Statement: [Kennedy, hasVariant, Kennedie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennedie
Context triple: [Kennedy, hasVariant, Kennedie]
  • A. Arabella Kennedy
    Arabella Kennedy was the first daughter of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy, who was stillborn in 1956.
  • B. McKenna
    McKenna is a surname of Irish origin commonly borne by individuals of Gaelic heritage.
  • C. Mimi Kennedy
    Mimi Kennedy is an American actress and author known for her work in film, television, and theater, including roles in series like "Dharma & Greg" and "Mom."
  • D. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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: Kennedie
Triple: [Kennedy, hasVariant, Kennedie]
Generated description
Kennedie is a given name that functions as an alternative spelling variant of the more common name Kennedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kennedie
Target entity description: Kennedie is a given name that functions as an alternative spelling variant of the more common name Kennedy.
  • A. Arabella Kennedy
    Arabella Kennedy was the first daughter of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy, who was stillborn in 1956.
  • B. McKenna
    McKenna is a surname of Irish origin commonly borne by individuals of Gaelic heritage.
  • C. Mimi Kennedy
    Mimi Kennedy is an American actress and author known for her work in film, television, and theater, including roles in series like "Dharma & Greg" and "Mom."
  • D. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c083ac8190a71cd9ede2114cac completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb3383c8190b14845a7de162502 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc62e1b481908310d7af56fb4889 completed March 13, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b2fdcc8190842d2d7bd09c65c4 completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.