Triple
T18427198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave DeBusschere |
E450171
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
DeBusschere
DeBusschere is the surname most famously associated with Dave DeBusschere, a Hall of Fame American basketball player and key member of the New York Knicks' championship teams in the 1970s.
|
E1323083
|
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: DeBusschere | Statement: [Dave DeBusschere, familyName, DeBusschere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeBusschere Context triple: [Dave DeBusschere, familyName, DeBusschere]
-
A.
Boutersem
Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
-
B.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
C.
Delecke
Delecke is a village in North Rhine-Westphalia, Germany, that forms part of the municipality of Möhnesee in the Soest district.
-
D.
Vandevelde
Vandevelde is a surname of Dutch or Flemish origin, commonly found in Belgium and the Netherlands.
-
E.
de Berghes
de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
- 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: DeBusschere Triple: [Dave DeBusschere, familyName, DeBusschere]
Generated description
DeBusschere is the surname most famously associated with Dave DeBusschere, a Hall of Fame American basketball player and key member of the New York Knicks' championship teams in the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeBusschere Target entity description: DeBusschere is the surname most famously associated with Dave DeBusschere, a Hall of Fame American basketball player and key member of the New York Knicks' championship teams in the 1970s.
-
A.
Boutersem
Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
-
B.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
C.
Delecke
Delecke is a village in North Rhine-Westphalia, Germany, that forms part of the municipality of Möhnesee in the Soest district.
-
D.
Vandevelde
Vandevelde is a surname of Dutch or Flemish origin, commonly found in Belgium and the Netherlands.
-
E.
de Berghes
de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b13ee88819091e7e007d17dcc73 |
completed | April 19, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0adb1bc8190bcc31dbf8af17435 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1caafbc81908c214e13d2cc79ae |
completed | May 13, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f24041b4819087f11ad189ae467a |
completed | May 13, 2026, 3:38 a.m. |
Created at: April 10, 2026, 11:25 a.m.