Triple
T17297178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Jennings |
E419940
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Corydon, Indiana |
—
|
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: Corydon, Indiana | Statement: [Jonathan Jennings, residence, Corydon, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corydon, Indiana Context triple: [Jonathan Jennings, residence, Corydon, Indiana]
-
A.
Corydon, Indiana
chosen
Corydon, Indiana is a historic town best known as Indiana’s first state capital and the site of the only Civil War battle fought in the state.
-
B.
Kokomo, Indiana
Kokomo, Indiana is a mid-sized industrial city in central Indiana known historically for its automotive manufacturing and technological innovation.
-
C.
Terre Haute, Indiana
Terre Haute, Indiana is a mid-sized city in western Indiana known historically as a regional industrial and transportation hub along major rail and river routes.
-
D.
Corydon
Corydon is a controversial series of dialogues by André Gide that defends homosexuality by arguing for its naturalness and historical prevalence.
-
E.
Connersville, Indiana
Connersville, Indiana is a small city in eastern Indiana known historically as an industrial and automotive manufacturing center.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437881d688190a633beacba6bc0ae |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 10, 2026, 5:40 a.m.