Triple
T13457384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Beaumont |
E311269
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
de Beaument
De Beaument is an alternative spelling or variant form of the name "de Beaumont," typically associated with French surnames of noble or historical origin.
|
E1041254
|
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 Beaument | Statement: [de Beaumont, hasVariant, de Beaument]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Beaument Context triple: [de Beaumont, hasVariant, de Beaument]
-
A.
de Montferrand
de Montferrand is the French noble family name borne by architect Auguste de Montferrand, renowned for designing Saint Isaac's Cathedral in Saint Petersburg.
-
B.
de Gontaut
de Gontaut is a French noble family name historically associated with prominent aristocrats and military leaders.
-
C.
de Monthermer
De Monthermer is an English noble family name historically associated with medieval barons and the aristocracy.
-
D.
des Groseilliers
des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
-
E.
Le Joly
Le Joly was a French ship associated with the 17th-century explorer René-Robert Cavelier, Sieur de La Salle, used during his expeditions in North America.
- 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 Beaument Triple: [de Beaumont, hasVariant, de Beaument]
Generated description
De Beaument is an alternative spelling or variant form of the name "de Beaumont," typically associated with French surnames of noble or historical origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Beaument Target entity description: De Beaument is an alternative spelling or variant form of the name "de Beaumont," typically associated with French surnames of noble or historical origin.
-
A.
de Montferrand
de Montferrand is the French noble family name borne by architect Auguste de Montferrand, renowned for designing Saint Isaac's Cathedral in Saint Petersburg.
-
B.
de Gontaut
de Gontaut is a French noble family name historically associated with prominent aristocrats and military leaders.
-
C.
de Monthermer
De Monthermer is an English noble family name historically associated with medieval barons and the aristocracy.
-
D.
des Groseilliers
des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
-
E.
Le Joly
Le Joly was a French ship associated with the 17th-century explorer René-Robert Cavelier, Sieur de La Salle, used during his expeditions in North America.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b3074bc819081e30b082857c33e |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ee5839881908ce75c57f1942b57 |
completed | May 3, 2026, 12:26 p.m. |
Created at: April 9, 2026, 9:41 p.m.