Triple
T20113114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendela Vida |
E490383
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vendela Vida |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Vendela Vida, name, Vendela Vida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendela Vida Context triple: [Vendela Vida, name, Vendela Vida]
-
A.
Vendela Vida
chosen
Vendela Vida is an American novelist, editor, and screenwriter known for her literary fiction and for co-founding the publishing house McSweeney’s.
-
B.
Sara Quin
Sara Quin is a Canadian musician best known as one half of the indie pop duo Tegan and Sara.
-
C.
Lauren Groff
Lauren Groff is an acclaimed contemporary American novelist and short story writer known for works such as "Fates and Furies," "Matrix," and "Florida."
-
D.
Augusta Read Thomas
Augusta Read Thomas is an acclaimed American composer known for her vibrant, lyrical contemporary classical works and significant contributions to modern orchestral and chamber music.
-
E.
Valeria Luiselli
Valeria Luiselli is a Mexican author and essayist known for her innovative, multilingual narratives that explore migration, identity, and the US–Mexico border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e21f908190b46c747662ff378a |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.