Triple
T17470828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherwood Anderson |
E425408
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Elizabeth Prall |
—
|
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: Elizabeth Prall | Statement: [Sherwood Anderson, spouse, Elizabeth Prall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Prall Context triple: [Sherwood Anderson, spouse, Elizabeth Prall]
-
A.
Elizabeth Prall
chosen
Elizabeth Prall was an American bookseller and literary figure best known for her marriage to modernist writer Sherwood Anderson.
-
B.
Rebecca Cottrell
Rebecca Cottrell is the wife of Stephen Cottrell, the Archbishop of York in the Church of England.
-
C.
Emily Graham
Emily Graham is the central protagonist of the novel "On the Street Where You Live," around whom the story’s suspenseful events and character developments revolve.
-
D.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
E.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451abab908190b6d9d8a64f7c2ea3 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.