Triple

T834985
Position Surface form Disambiguated ID Type / Status
Subject Love (novel) E18049 entity
Predicate featuresCharacter P626 FINISHED
Object Junior Viviane
Junior Viviane is a fictional character appearing in Toni Morrison’s novel "Love."
E98927 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: Junior Viviane | Statement: [Love (novel), featuresCharacter, Junior Viviane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junior Viviane
Context triple: [Love (novel), featuresCharacter, Junior Viviane]
  • A. Vivian
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • B. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • C. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • D. Alexa Vega
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • E. Candace
    Candace is a central female character in the romantic comedy film "Think Like a Man," portrayed as a single mother navigating love and relationships while inspired by Steve Harvey’s dating advice.
  • 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: Junior Viviane
Triple: [Love (novel), featuresCharacter, Junior Viviane]
Generated description
Junior Viviane is a fictional character appearing in Toni Morrison’s novel "Love."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Junior Viviane
Target entity description: Junior Viviane is a fictional character appearing in Toni Morrison’s novel "Love."
  • A. Vivian
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • B. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • C. Chloe
    Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
  • D. Alexa Vega
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • E. Candace
    Candace is a central female character in the romantic comedy film "Think Like a Man," portrayed as a single mother navigating love and relationships while inspired by Steve Harvey’s dating advice.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abccb94881909cd49aa3fd986b4a completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929624e88190bb7e1c644b8cc52b completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a793a3fa2481909cfdfd5825ee8e8d completed March 4, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69a794261614819089e8d36c7a0a94f1 completed March 4, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:38 p.m.