Triple
T17868977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guntersville, Alabama |
E446779
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Gunter |
—
|
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: John Gunter | Statement: [Guntersville, Alabama, namedAfter, John Gunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gunter Context triple: [Guntersville, Alabama, namedAfter, John Gunter]
-
A.
John Gunter
chosen
John Gunter was an individual significant enough in local or regional history that the city of Gunter, Texas, was named in his honor.
-
B.
William Leitch
William Leitch was a 19th-century Scottish astronomer and clergyman noted for being an early theorist of space travel and rocketry.
-
C.
Martin P. Catherwood
Martin P. Catherwood was an American labor and industrial relations expert who served in prominent public roles in New York State government.
-
D.
William Girdler
William Girdler was an American filmmaker best known for his low-budget horror and exploitation films of the 1970s.
-
E.
William Gaxton
William Gaxton was an American stage and film actor best known for his leading roles in Broadway musical comedies during the early to mid-20th century.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa18df881908a8ff40b7de19268 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.