Triple

T1533228
Position Surface form Disambiguated ID Type / Status
Subject Delia Juanita Warrick E32491 entity
Predicate middleName P143 FINISHED
Object Juanita
Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
E214153 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: Juanita | Statement: [Delia Juanita Warrick, middleName, Juanita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juanita
Context triple: [Delia Juanita Warrick, middleName, Juanita]
  • A. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • B. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • C. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • D. Jeanette Núñez
    Jeanette Núñez is an American politician and member of the Republican Party who has served in Florida state government, including leadership roles in the state legislature.
  • E. Carmen Cortez
    Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
  • 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: Juanita
Triple: [Delia Juanita Warrick, middleName, Juanita]
Generated description
Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Juanita
Target entity description: Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
  • A. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • B. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • C. Consuelo
    Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
  • D. Jeanette Núñez
    Jeanette Núñez is an American politician and member of the Republican Party who has served in Florida state government, including leadership roles in the state legislature.
  • E. Carmen Cortez
    Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9081835e4819093dee004fdb027ff completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeabea0d88190b0bd83aece8c7b55 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeea29fd4819099e1ac22b9ce123f completed March 8, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69adef4913608190824764bd79821a7e completed March 8, 2026, 9:51 p.m.
Created at: March 4, 2026, 7:26 p.m.