Triple

T1430881
Position Surface form Disambiguated ID Type / Status
Subject Pauletta E30441 entity
Predicate hasSpellingVariant P457 FINISHED
Object Paulette
Paulette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
 E30441 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: Paulette | Statement: [Pauletta, hasSpellingVariant, Paulette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paulette
Context triple: [Pauletta, hasSpellingVariant, Paulette]
  • A. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • B. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • C. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Penelope Alvarez
    Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
  • 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: Paulette
Triple: [Pauletta, hasSpellingVariant, Paulette]
Generated description
Paulette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paulette
Target entity description: Paulette is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • A. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • B. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • C. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • D. Pauletta chosen
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Penelope Alvarez
    Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4dc3e2081909ff951fe73db277b completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69add1a428b88190a79a669ca6b73671 completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add21921e0819090a7f39d17d86b23 completed March 8, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69add28d2ca881908ada32b73fdb3c6f completed March 8, 2026, 7:48 p.m.
Created at: March 1, 2026, 8 p.m.