Triple
T17974738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Snodgrass |
E449438
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Patrick 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: Patrick Snodgrass | Statement: [Patrick Snodgrass, name, Patrick Snodgrass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Snodgrass Context triple: [Patrick Snodgrass, name, Patrick Snodgrass]
-
A.
Patrick Snodgrass
chosen
Patrick Snodgrass is an individual notable enough to be recognized as a namesake of the surname Snodgrass.
-
B.
Paul Snodgrass
Paul Snodgrass is a South African comedian, radio personality, and writer known for his stand-up performances and work in local media.
-
C.
Neil Snodgrass
Neil Snodgrass is an individual notable enough to be specifically cited as a bearer of the Snodgrass surname, though widely known public details about his life or achievements are limited.
-
D.
Michael Snodgrass
Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
-
E.
Richard Snodgrass
Richard Snodgrass is an American computer scientist known for his contributions to temporal databases and database systems research.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fe24808190baa11739f4d1095f |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.