Triple

T8952817
Position Surface form Disambiguated ID Type / Status
Subject Amy Vivian Coney E213397 entity
Predicate middleName P143 FINISHED
Object Vivian
Vivian is the middle name of Amy Coney Barrett, an Associate Justice of the United States Supreme Court.
 E767897 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: [Amy Vivian Coney, middleName, Vivian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vivian
Context triple: [Amy Vivian Coney, middleName, 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 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. 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.
  • E. Vivian Ward
    Vivian Ward is the charismatic Hollywood prostitute-turned-love-interest famously played by Julia Roberts in the 1990 romantic comedy film "Pretty Woman."
  • 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: [Amy Vivian Coney, middleName, Vivian]
Generated description
Vivian is the middle name of Amy Coney Barrett, an Associate Justice of the United States Supreme Court.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vivian
Target entity description: Vivian is the middle name of Amy Coney Barrett, an Associate Justice of the United States Supreme Court.
  • 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. 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.
  • E. Vivian Ward
    Vivian Ward is the charismatic Hollywood prostitute-turned-love-interest famously played by Julia Roberts in the 1990 romantic comedy film "Pretty Woman."
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670f88d0819085d7308a5cf6c764 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc210302c8190b1c062fcbcfeb0f6 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc34eba0881908155770166639481 completed April 3, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfc41fca3081908d8c2515c98283de completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.