Triple
T16988723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Wallem |
E412136
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Wallem
Wallem is a surname most notably associated with American actor and writer Stephen Wallem.
|
E1266227
|
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: Wallem | Statement: [Stephen Wallem, hasFamilyName, Wallem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallem Context triple: [Stephen Wallem, hasFamilyName, Wallem]
-
A.
Waasland
Waasland is a historical region in East Flanders, Belgium, known for its towns such as Sint-Niklaas and its mix of rural landscapes and urban centers.
-
B.
Wallonia
Wallonia is the predominantly French-speaking southern region of Belgium, known for its industrial heritage, cultural distinctiveness, and political autonomy within the Belgian federal state.
-
C.
Brabant
Brabant is a historic region in Western Europe, now divided mainly between the Netherlands and Belgium, known for its rich medieval heritage and distinct cultural identity.
-
D.
Flanders
Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
-
E.
Walloon Brabant
Walloon Brabant is a predominantly French-speaking province in central Belgium known for its historic towns, universities, and proximity to Brussels.
- 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: Wallem Triple: [Stephen Wallem, hasFamilyName, Wallem]
Generated description
Wallem is a surname most notably associated with American actor and writer Stephen Wallem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wallem Target entity description: Wallem is a surname most notably associated with American actor and writer Stephen Wallem.
-
A.
Waasland
Waasland is a historical region in East Flanders, Belgium, known for its towns such as Sint-Niklaas and its mix of rural landscapes and urban centers.
-
B.
Wallonia
Wallonia is the predominantly French-speaking southern region of Belgium, known for its industrial heritage, cultural distinctiveness, and political autonomy within the Belgian federal state.
-
C.
Brabant
Brabant is a historic region in Western Europe, now divided mainly between the Netherlands and Belgium, known for its rich medieval heritage and distinct cultural identity.
-
D.
Flanders
Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
-
E.
Walloon Brabant
Walloon Brabant is a predominantly French-speaking province in central Belgium known for its historic towns, universities, and proximity to Brussels.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27dca248190a9b73b16439d5631 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fdc21148190b20c125773d8a181 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a15d95d8819097287d678cb8dd59 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1c415dc8190ba8f7e2a8053917f |
completed | May 11, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.