Triple

T5963861
Position Surface form Disambiguated ID Type / Status
Subject Nanci Griffith E132704 entity
Predicate givenName P17 FINISHED
Object Nanci
Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
 E560690 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: Nanci | Statement: [Nanci Griffith, givenName, Nanci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanci
Context triple: [Nanci Griffith, givenName, Nanci]
  • A. Nancy Marchand
    Nancy Marchand was an acclaimed American actress best known for her roles on the television series "Lou Grant" and "The Sopranos."
  • B. Nina Holiday
    Nina Holiday is a character portrayed by Idara Victor, best known as a tech-savvy analyst on the television series "Rizzoli & Isles."
  • C. Patti D'Arbanville
    Patti D'Arbanville is an American actress and former model known for her work in film and television since the 1970s, including notable roles in both independent and mainstream productions.
  • D. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • E. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • 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: Nanci
Triple: [Nanci Griffith, givenName, Nanci]
Generated description
Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanci
Target entity description: Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
  • A. Nancy Marchand
    Nancy Marchand was an acclaimed American actress best known for her roles on the television series "Lou Grant" and "The Sopranos."
  • B. Nina Holiday
    Nina Holiday is a character portrayed by Idara Victor, best known as a tech-savvy analyst on the television series "Rizzoli & Isles."
  • C. Patti D'Arbanville
    Patti D'Arbanville is an American actress and former model known for her work in film and television since the 1970s, including notable roles in both independent and mainstream productions.
  • D. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • E. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1083361e08190aaba9e99a856e015 completed March 23, 2026, 9:30 a.m.
NEDg Description generation batch_69c10987f5588190ac9305b84d8916a7 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10afbee8081909cf516ae7cda7ccf completed March 23, 2026, 9:42 a.m.
Created at: March 22, 2026, 4:03 p.m.