Triple

T2011304
Position Surface form Disambiguated ID Type / Status
Subject Portlandia E43691 entity
Predicate hasRecurringCharacter P10543 FINISHED
Object Nance
Nance is a recurring character on the sketch comedy series "Portlandia," known as one half of the feminist bookstore duo alongside Candace.
 E230476 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: Nance | Statement: [Portlandia, hasRecurringCharacter, Nance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nance
Context triple: [Portlandia, hasRecurringCharacter, Nance]
  • A. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • C. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • D. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • E. Leslie
    Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
  • 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: Nance
Triple: [Portlandia, hasRecurringCharacter, Nance]
Generated description
Nance is a recurring character on the sketch comedy series "Portlandia," known as one half of the feminist bookstore duo alongside Candace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nance
Target entity description: Nance is a recurring character on the sketch comedy series "Portlandia," known as one half of the feminist bookstore duo alongside Candace.
  • A. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • C. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • D. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • E. Leslie
    Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b150a8819096c919465fd91ab5 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2707c074819095f932a67f7b5fb9 completed March 9, 2026, 1:48 a.m.
NEDg Description generation batch_69ae279ffb288190b61d9e59db026f59 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2848b40c819093ea338b7a940586 completed March 9, 2026, 1:54 a.m.
Created at: March 4, 2026, 7:37 p.m.