Triple
T16221069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillaume de Berghes |
E393723
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Berghes
de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
|
E1200725
|
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 Berghes | Statement: [Guillaume de Berghes, familyName, de Berghes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Berghes Context triple: [Guillaume de Berghes, familyName, de Berghes]
-
A.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
-
B.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
-
C.
Lardé
Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
-
D.
Cortébert
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
E.
Bidault
Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
- 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 Berghes Triple: [Guillaume de Berghes, familyName, de Berghes]
Generated description
de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Berghes Target entity description: de Berghes is a noble family name of likely Belgian or Dutch origin historically associated with aristocratic lineages in the Low Countries.
-
A.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
-
B.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
-
C.
Lardé
Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
-
D.
Cortébert
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
E.
Bidault
Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fbd88081909fac3f075d5ea7f4 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007987cd881908ebc01141028c0a5 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00081162348190ba0bfb55b8d01e6d |
completed | May 10, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00087e244881908cefdfc6e4b46251 |
completed | May 10, 2026, 4:24 a.m. |
Created at: April 10, 2026, 5:03 a.m.