Triple
T5741143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Away We Go |
E126616
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Vendela Vida |
E490383
|
NE FINISHED |
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: [Away We Go, screenwriter, Vendela Vida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendela Vida Context triple: [Away We Go, screenwriter, 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.
Lydia West
Lydia West is a British actress best known for her acclaimed role in the television drama series "It's a Sin."
-
D.
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."
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e168ebc8190ba8cb1b3e1b074d5 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.