Triple
T11862903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Roelofs |
E282201
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Roelofs
Roelofs is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
|
E950876
|
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: Roelofs | Statement: [Sandra Roelofs, familyName, Roelofs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roelofs Context triple: [Sandra Roelofs, familyName, Roelofs]
-
A.
Rohrer
Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
-
B.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
C.
Benschop
Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
-
D.
Lorscheider
Lorscheider is a German-origin surname notably borne by Brazilian Cardinal Aloísio Lorscheider.
-
E.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
- 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: Roelofs Triple: [Sandra Roelofs, familyName, Roelofs]
Generated description
Roelofs is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roelofs Target entity description: Roelofs is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
-
A.
Rohrer
Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
-
B.
Roesler
Roesler is a German-language surname associated with figures such as the 19th-century jurist and economist Hermann Roesler.
-
C.
Benschop
Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
-
D.
Lorscheider
Lorscheider is a German-origin surname notably borne by Brazilian Cardinal Aloísio Lorscheider.
-
E.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69b16bc8190999a0c1240f9ce6a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281844c048190b5476343113f2436 |
completed | April 29, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69f28a92ac90819092eef473a49d329e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c462d888190a43e042b00921dbe |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:43 p.m.