Triple
T8106459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pica de Bourlemont |
E189238
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Bourlemont
De Bourlemont is a French noble family name historically associated with members of the aristocracy, such as Pica de Bourlemont.
|
E189238
|
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 Bourlemont | Statement: [Pica de Bourlemont, familyName, de Bourlemont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Bourlemont Context triple: [Pica de Bourlemont, familyName, de Bourlemont]
-
A.
Pica de Bourlemont
Pica de Bourlemont was a noblewoman of French origin best known as the mother of Saint Francis of Assisi.
-
B.
Plancenoit
Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
-
C.
hill of Bourlémont
The hill of Bourlémont is a prominent rise in Ronchamp, France, best known as the dramatic natural site crowned by Le Corbusier’s modernist chapel Notre-Dame du Haut.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
- 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 Bourlemont Triple: [Pica de Bourlemont, familyName, de Bourlemont]
Generated description
De Bourlemont is a French noble family name historically associated with members of the aristocracy, such as Pica de Bourlemont.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Bourlemont Target entity description: De Bourlemont is a French noble family name historically associated with members of the aristocracy, such as Pica de Bourlemont.
-
A.
Pica de Bourlemont
chosen
Pica de Bourlemont was a noblewoman of French origin best known as the mother of Saint Francis of Assisi.
-
B.
Plancenoit
Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
-
C.
hill of Bourlémont
The hill of Bourlémont is a prominent rise in Ronchamp, France, best known as the dramatic natural site crowned by Le Corbusier’s modernist chapel Notre-Dame du Haut.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
Miromesnil
Miromesnil is a Paris Métro station in the 8th arrondissement, serving as an interchange between lines 9 and 13 near the Élysée Palace.
- F. None of above.
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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42f735c8819090d0d822644c0a51 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd948fcf90819090c80e1ac4ac1b0c |
completed | April 1, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_69cd9e03dd2c8190b7e18cdc3fa62b16 |
completed | April 1, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd9faa9654819080aaae51c9835af0 |
completed | April 1, 2026, 10:43 p.m. |
Created at: March 30, 2026, 5:31 p.m.