Triple
T17223448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Stettler |
E418048
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stettler
Stettler is a Swiss surname most notably associated with painter and art educator Martha Stettler.
|
E1257790
|
NE FINISHED |
How this triple was built (4 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: Stettler | Statement: [Martha Stettler, familyName, Stettler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stettler Context triple: [Martha Stettler, familyName, Stettler]
-
A.
Lethbridge
Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
-
B.
Medicine Hat
Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
-
C.
Lloydminster
Lloydminster is a unique Canadian city that straddles the border between Alberta and Saskatchewan, functioning as a single municipality in two provinces.
-
D.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
-
E.
North Battleford
North Battleford is a small city in west-central Saskatchewan, Canada, known as a regional service and transportation hub for the surrounding agricultural area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stettler Triple: [Martha Stettler, familyName, Stettler]
Generated description
Stettler is a Swiss surname most notably associated with painter and art educator Martha Stettler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stettler Target entity description: Stettler is a Swiss surname most notably associated with painter and art educator Martha Stettler.
-
A.
Lethbridge
Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
-
B.
Medicine Hat
Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
-
C.
Lloydminster
Lloydminster is a unique Canadian city that straddles the border between Alberta and Saskatchewan, functioning as a single municipality in two provinces.
-
D.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
-
E.
North Battleford
North Battleford is a small city in west-central Saskatchewan, Canada, known as a regional service and transportation hub for the surrounding agricultural area.
- F. None of above. chosen
Provenance (5 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddfe3bc8190b22cee4fc0590b74 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169f4d520819095774ce5ee2d2220 |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a55114881909496549dfb7b6ff1 |
completed | May 11, 2026, 5:34 a.m. |
Created at: April 10, 2026, 5:38 a.m.