Triple

T6038609
Position Surface form Disambiguated ID Type / Status
Subject Jacqueline E134483 entity
Predicate relatedToName P3889 FINISHED
Object Jaqueline
Jaqueline is a feminine given name, typically considered a variant spelling of Jacqueline.
E134483 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: Jaqueline | Statement: [Jacqueline, relatedToName, Jaqueline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaqueline
Context triple: [Jacqueline, relatedToName, Jaqueline]
  • A. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • B. Jacqueline Lamba
    Jacqueline Lamba was a French Surrealist painter closely associated with the Paris avant-garde and the artistic circle around André Breton in the 1930s and 1940s.
  • C. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • D. Jacqueline Feather
    Jacqueline Feather is a screenwriter best known for her work on films such as the 1982 musical comedy "Starstruck."
  • E. Juanita
    Juanita is a residential neighborhood in the city of Kirkland, Washington, known for its parks, waterfront access, and suburban community character.
  • 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: Jaqueline
Triple: [Jacqueline, relatedToName, Jaqueline]
Generated description
Jaqueline is a feminine given name, typically considered a variant spelling of Jacqueline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaqueline
Target entity description: Jaqueline is a feminine given name, typically considered a variant spelling of Jacqueline.
  • A. Jacqueline chosen
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • B. Jacqueline Lamba
    Jacqueline Lamba was a French Surrealist painter closely associated with the Paris avant-garde and the artistic circle around André Breton in the 1930s and 1940s.
  • C. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • D. Jacqueline Feather
    Jacqueline Feather is a screenwriter best known for her work on films such as the 1982 musical comedy "Starstruck."
  • E. Juanita
    Juanita is a residential neighborhood in the city of Kirkland, Washington, known for its parks, waterfront access, and suburban community character.
  • F. None of above.

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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ccac948190a27547878d4db8e4 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1356aa44c8190aa2602bf77c00d2f completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c1379d44c08190b816103b667b66c6 completed March 23, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69c137df43f481909d10333496c36461 completed March 23, 2026, 12:53 p.m.
Created at: March 22, 2026, 4:08 p.m.