Triple
T16258115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank De Winne |
E394682
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
De Winne
De Winne is the surname of Frank De Winne, a Belgian Air Force officer and European Space Agency astronaut known for commanding the International Space Station.
|
E1202744
|
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: De Winne | Statement: [Frank De Winne, familyName, De Winne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Winne Context triple: [Frank De Winne, familyName, De Winne]
-
A.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
B.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
-
C.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
D.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
E.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
- 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: De Winne Triple: [Frank De Winne, familyName, De Winne]
Generated description
De Winne is the surname of Frank De Winne, a Belgian Air Force officer and European Space Agency astronaut known for commanding the International Space Station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Winne Target entity description: De Winne is the surname of Frank De Winne, a Belgian Air Force officer and European Space Agency astronaut known for commanding the International Space Station.
-
A.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
-
B.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
-
C.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
D.
Weener
Weener is a small town and municipality in the Leer district of Lower Saxony in northwestern Germany, known for its historic harbor and location on the River Ems.
-
E.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c1fa208190995feaeba766b45f |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eebcfe481909822290d3a7b361c |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f8cca5081909db58e092028e469 |
completed | May 10, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001057f9088190925492033bcd4c8d |
completed | May 10, 2026, 4:58 a.m. |
Created at: April 10, 2026, 5:04 a.m.