Triple

T5070861
Position Surface form Disambiguated ID Type / Status
Subject Dave Eggers E114273 entity
Predicate spouse P13 FINISHED
Object Vendela Vida
Vendela Vida is an American novelist, editor, and screenwriter known for her literary fiction and for co-founding the publishing house McSweeney’s.
E490383 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: Vendela Vida | Statement: [Dave Eggers, spouse, Vendela Vida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vendela Vida
Context triple: [Dave Eggers, spouse, Vendela Vida]
  • A. Sara Quin
    Sara Quin is a Canadian musician best known as one half of the indie pop duo Tegan and Sara.
  • B. Lydia West
    Lydia West is a British actress best known for her acclaimed role in the television drama series "It's a Sin."
  • C. Maggie Nelson
    Maggie Nelson is an American writer and critic known for her genre-blending works that combine memoir, theory, and cultural criticism, such as "The Argonauts."
  • D. Emily M. Danforth
    Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
  • E. Cathy Park Hong
    Cathy Park Hong is a Korean American poet, essayist, and professor known for her innovative poetry collections and the acclaimed essay collection "Minor Feelings: An Asian American Reckoning."
  • 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: Vendela Vida
Triple: [Dave Eggers, spouse, Vendela Vida]
Generated description
Vendela Vida is an American novelist, editor, and screenwriter known for her literary fiction and for co-founding the publishing house McSweeney’s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vendela Vida
Target entity description: Vendela Vida is an American novelist, editor, and screenwriter known for her literary fiction and for co-founding the publishing house McSweeney’s.
  • A. Sara Quin
    Sara Quin is a Canadian musician best known as one half of the indie pop duo Tegan and Sara.
  • B. Lydia West
    Lydia West is a British actress best known for her acclaimed role in the television drama series "It's a Sin."
  • C. Maggie Nelson
    Maggie Nelson is an American writer and critic known for her genre-blending works that combine memoir, theory, and cultural criticism, such as "The Argonauts."
  • D. Emily M. Danforth
    Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
  • E. Cathy Park Hong
    Cathy Park Hong is a Korean American poet, essayist, and professor known for her innovative poetry collections and the acclaimed essay collection "Minor Feelings: An Asian American Reckoning."
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4a42dc08190b05276748741c254 completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea61bfc048190818fbff9889753b6 completed March 21, 2026, 2:07 p.m.
NED2 Entity disambiguation (via description) batch_69bea672806c8190b709fea7d44e9cff completed March 21, 2026, 2:08 p.m.
Created at: March 20, 2026, 1:39 p.m.