Triple
T23205481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimee Griffen |
E580441
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Margaret Atwood |
—
|
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: Margaret Atwood | Statement: [Aimee Griffen, creator, Margaret Atwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Atwood Context triple: [Aimee Griffen, creator, Margaret Atwood]
-
A.
Margaret Atwood
chosen
Margaret Atwood is a renowned Canadian author and poet best known for her speculative fiction works such as "The Handmaid's Tale" and "Oryx and Crake."
-
B.
Ann Kelsey
Ann Kelsey is a sharp, principled attorney on the television legal drama "L.A. Law," known for her professionalism and complex personal relationships within the firm.
-
C.
Miriam Toews
Miriam Toews is a Canadian novelist known for her darkly comic and emotionally resonant portrayals of Mennonite life and complex family relationships.
-
D.
Anne Michaels
Anne Michaels is a Canadian poet and novelist best known for her acclaimed, lyrically written novel "Fugitive Pieces."
-
E.
P. K. Page
P. K. Page was a prominent Canadian poet and visual artist whose innovative, lyrical work has made her a central figure in 20th-century Canadian literature.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.