Triple
T20732841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles A. Beard |
E509613
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Knightstown, 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: Knightstown, Indiana | Statement: [Charles A. Beard, placeOfBirth, Knightstown, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knightstown, Indiana Context triple: [Charles A. Beard, placeOfBirth, Knightstown, Indiana]
-
A.
Knightstown, Indiana
chosen
Knightstown, Indiana is a small historic town in east-central Indiana best known for its classic Midwestern charm and its appearance in the film "Hoosiers."
-
B.
Knox, Indiana
Knox, Indiana is a small Midwestern city that serves as the administrative and commercial hub of Starke County.
-
C.
Oaktown, Indiana
Oaktown, Indiana is a small rural town located in southwestern Indiana within Knox County.
-
D.
Cannelton, Indiana
Cannelton, Indiana is a small historic city along the Ohio River known for its 19th-century industrial heritage, including one of the nation’s oldest cotton mills.
-
E.
Osceola, Indiana
Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ee49a48190876fa05eb291e54e |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:31 p.m.