Triple

T9041696
Position Surface form Disambiguated ID Type / Status
Subject Vivienne E216646 entity
Predicate hasVariant P455 FINISHED
Object Vivian
Vivian is a given name used for people of any gender, derived from the Latin name Vivianus and commonly found in English-speaking countries.
E775677 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: Vivian | Statement: [Vivienne, hasVariant, Vivian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivian
Context triple: [Vivienne, hasVariant, Vivian]
  • A. Vivian
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • B. Vivian
    Vivian is the middle name of Amy Coney Barrett, an Associate Justice of the United States Supreme Court.
  • C. Vivian
    Vivian is an English surname historically associated with British nobility and notable figures in politics, the military, and the arts.
  • D. Vivian
    Vivian is the given name of A. V. Hill, the Nobel Prize–winning British physiologist and biophysicist known for his pioneering work on muscle physiology and heat production.
  • E. Vivica
    Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
  • 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: Vivian
Triple: [Vivienne, hasVariant, Vivian]
Generated description
Vivian is a given name used for people of any gender, derived from the Latin name Vivianus and commonly found in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vivian
Target entity description: Vivian is a given name used for people of any gender, derived from the Latin name Vivianus and commonly found in English-speaking countries.
  • A. Vivian
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • B. Vivian
    Vivian is an English surname historically associated with British nobility and notable figures in politics, the military, and the arts.
  • C. Vivian
    Vivian is the given name of A. V. Hill, the Nobel Prize–winning British physiologist and biophysicist known for his pioneering work on muscle physiology and heat production.
  • D. Vivian
    Vivian is the middle name of Amy Coney Barrett, an Associate Justice of the United States Supreme Court.
  • E. Vivica
    Vivica is the first name of American actress and producer Vivica A. Fox, known for her roles in film and television since the 1990s.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b110fcc8190a09e8ac5d98e399e completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdb085c88190b3cf1bec5b1a7143 completed April 3, 2026, 5:49 p.m.
NEDg Description generation batch_69cfff51b8c0819093b2c348fd7819fe completed April 3, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69d0014b9c108190b4abe8c974677d31 completed April 3, 2026, 6:04 p.m.
Created at: March 30, 2026, 7:09 p.m.