Triple
T15632660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonesome Jim |
E375854
|
entity |
| Predicate | filmingLocation |
P40
|
FINISHED |
| Object | Goshen, Indiana |
E683963
|
NE FINISHED |
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: Goshen, Indiana | Statement: [Lonesome Jim, filmingLocation, Goshen, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goshen, Indiana Context triple: [Lonesome Jim, filmingLocation, Goshen, Indiana]
-
A.
Goshen, Indiana, United States
Goshen, Indiana, United States is a small Midwestern city known as the county seat of Elkhart County and for its manufacturing and agricultural industries.
-
B.
Greensburg, Indiana
Greensburg, Indiana is a small Midwestern city known for its historic courthouse square and the famous tree growing from the Decatur County Courthouse tower.
-
C.
Goshen
Goshen is a small town in Utah County, Utah, situated in the southern part of Utah Valley.
-
D.
Goshen
Goshen is the fertile region in ancient Egypt where the Israelites settled during the time of Joseph, as recounted in the Book of Genesis.
-
E.
Goshen
chosen
Goshen is a small city in northern Indiana known for its manufacturing base, Mennonite and Amish heritage, and historic downtown.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f472b648190b7cd532a1b16373e |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.