Triple
T15588987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karin Keller-Sutter |
E374693
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Keller-Sutter
Keller-Sutter is the hyphenated family name of Swiss politician Karin Keller-Sutter, a prominent member of the Swiss Federal Council.
|
E1165139
|
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: Keller-Sutter | Statement: [Karin Keller-Sutter, familyName, Keller-Sutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keller-Sutter Context triple: [Karin Keller-Sutter, familyName, Keller-Sutter]
-
A.
Sutter
Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
-
B.
Keller
Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
-
C.
Keller
Keller is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and strong public schools.
-
D.
Ayers-Allen
Ayers-Allen is the hyphenated surname of American actress Phylicia Rashad, used earlier in her career before she adopted her current professional name.
-
E.
Hosford-Abernethy
Hosford-Abernethy is a primarily residential neighborhood in southeast Portland, Oregon, known for its historic homes, walkable streets, and proximity to the city’s urban core.
- 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: Keller-Sutter Triple: [Karin Keller-Sutter, familyName, Keller-Sutter]
Generated description
Keller-Sutter is the hyphenated family name of Swiss politician Karin Keller-Sutter, a prominent member of the Swiss Federal Council.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keller-Sutter Target entity description: Keller-Sutter is the hyphenated family name of Swiss politician Karin Keller-Sutter, a prominent member of the Swiss Federal Council.
-
A.
Sutter
Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
-
B.
Keller
Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
-
C.
Keller
Keller is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and strong public schools.
-
D.
Ayers-Allen
Ayers-Allen is the hyphenated surname of American actress Phylicia Rashad, used earlier in her career before she adopted her current professional name.
-
E.
Hosford-Abernethy
Hosford-Abernethy is a primarily residential neighborhood in southeast Portland, Oregon, known for its historic homes, walkable streets, and proximity to the city’s urban core.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4a19708190936118d569f3436d |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c53617c8190b4367eee351dc025 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d5de6ec8190ab82ac78bb70a432 |
completed | May 9, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4dd868388190a159618c1fdcf15c |
completed | May 9, 2026, 3:08 p.m. |
Created at: April 10, 2026, 4:11 a.m.