Triple
T5741214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leatherheads |
E126617
|
entity |
| Predicate | narrativeLocation |
P40
|
FINISHED |
| Object | Duluth |
E15185
|
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: Duluth | Statement: [Leatherheads, narrativeLocation, Duluth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duluth Context triple: [Leatherheads, narrativeLocation, Duluth]
-
A.
Duluth
chosen
Duluth is a major port city in northeastern Minnesota known for its shipping industry, scenic Lake Superior shoreline, and role as a regional transportation hub.
-
B.
Duluth
Duluth is a suburban city in the Atlanta metropolitan area known for its diverse community, shopping districts, and regional entertainment venues.
-
C.
Bemidji
Bemidji is a small regional hub in northern Minnesota known for its lakes, outdoor recreation, and status as the "First City on the Mississippi."
-
D.
International Falls
International Falls is a small northern Minnesota city on the U.S.–Canada border, known for its extremely cold winters and nickname “Icebox of the Nation.”
-
E.
Minneapolis
Minneapolis is a major city in Minnesota known for its large and historically significant Norwegian American community, vibrant arts scene, and numerous lakes.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf9968d881908ef4065d1d13b2b8 |
completed | March 23, 2026, 4:20 a.m. |
Created at: March 22, 2026, 3:48 p.m.