Triple
T21339800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Snodgrass |
E526152
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sarah Snodgrass |
—
|
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: Sarah Snodgrass | Statement: [Sarah Snodgrass, name, Sarah Snodgrass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Snodgrass Context triple: [Sarah Snodgrass, name, Sarah Snodgrass]
-
A.
Sarah Snodgrass
chosen
Sarah Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass, though specific widely known public details about her are not clearly established.
-
B.
Elizabeth Snodgrass
Elizabeth Snodgrass is a person notable enough to be specifically cited as a bearer of the Snodgrass surname.
-
C.
Elizabeth Snoderly
Elizabeth Snoderly is a film and television producer known for her work on projects such as the holiday-themed movie "Holiday Rush."
-
D.
Laura Grubb
Laura Grubb is a hobbit of the Shire from J.R.R. Tolkien’s legendarium, known primarily as a member of the Took family by marriage.
-
E.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a84ce554819090c168c95a5b91f9 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 16, 2026, 4:44 p.m.