Triple
T1546330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williamson |
E32984
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Williamsen
Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
|
E175711
|
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: Williamsen | Statement: [Williamson, hasVariantForm, Williamsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamsen Context triple: [Williamson, hasVariantForm, Williamsen]
-
A.
Wilsen
Wilsen is a variant form of the given name Wilson, used as a personal name or surname.
-
B.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
-
C.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
D.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
-
E.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
- 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: Williamsen Triple: [Williamson, hasVariantForm, Williamsen]
Generated description
Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Williamsen Target entity description: Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
-
A.
Wilsen
Wilsen is a variant form of the given name Wilson, used as a personal name or surname.
-
B.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
-
C.
Mommsen
Mommsen is a German surname most famously associated with Theodor Mommsen, the Nobel Prize–winning historian and scholar of ancient Rome.
-
D.
Leese
Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
-
E.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61fc0b5c8190bad34c17c3b46c7e |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad309dcc3c819096a796a330a16de1 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad313ff5e48190bcd44f5211edf414 |
completed | March 8, 2026, 8:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad31edfb848190a3f7309fa1d2150a |
completed | March 8, 2026, 8:23 a.m. |
Created at: March 4, 2026, 7:26 p.m.