Triple
T8982511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norbert Goeneutte |
E214566
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Goeneutte
Goeneutte is the surname of Norbert Goeneutte, a French painter and printmaker associated with the Impressionist movement.
|
E771750
|
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: Goeneutte | Statement: [Norbert Goeneutte, familyName, Goeneutte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goeneutte Context triple: [Norbert Goeneutte, familyName, Goeneutte]
-
A.
Goude
Goude is a French surname most notably associated with Jean-Paul Goude, the influential graphic designer, illustrator, and photographer known for his iconic advertising and fashion imagery.
-
B.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
C.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
D.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
E.
Goettsch
Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
- 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: Goeneutte Triple: [Norbert Goeneutte, familyName, Goeneutte]
Generated description
Goeneutte is the surname of Norbert Goeneutte, a French painter and printmaker associated with the Impressionist movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goeneutte Target entity description: Goeneutte is the surname of Norbert Goeneutte, a French painter and printmaker associated with the Impressionist movement.
-
A.
Goude
Goude is a French surname most notably associated with Jean-Paul Goude, the influential graphic designer, illustrator, and photographer known for his iconic advertising and fashion imagery.
-
B.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
C.
De Bolle
De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
-
D.
Neeleman
Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
-
E.
Goettsch
Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a891e881909e4b84ed82491651 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0b3ce0c81908a7b4297e0867cc9 |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd1b4a80c8190be50b67698f56c28 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2c99f1c8190b82fd98f5d3243d3 |
completed | April 3, 2026, 2:46 p.m. |
Created at: March 30, 2026, 7:03 p.m.