Triple
T18376288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell County, Alabama |
E446323
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Alexander Russell |
—
|
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: Alexander Russell | Statement: [Russell County, Alabama, namedAfter, Alexander Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Russell Context triple: [Russell County, Alabama, namedAfter, Alexander Russell]
-
A.
Alexander Russell
chosen
Alexander Russell was a notable figure in Alabama’s history for whom Russell County was named, likely recognized for his contributions to the state or region.
-
B.
Alexander Russell
Alexander Russell was a figure significant enough in local or regional history that the city of Russell, Kansas, was named in his honor.
-
C.
Alexander Russel
Alexander Russel was a prominent 19th-century Scottish journalist and long-serving editor of The Scotsman newspaper.
-
D.
Alexander Rea
Alexander Rea was the individual after whom the Town of Alexander in New York was named, likely an early settler or prominent local figure in the area’s founding.
-
E.
Alexander Gann
Alexander Gann is a molecular biologist and science editor known for his work on genetics and for co-authoring influential textbooks in molecular biology.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.