Triple
T801524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucien Bonaparte |
E17137
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lucien
Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
|
E121212
|
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: Lucien | Statement: [Lucien Bonaparte, givenName, Lucien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucien Context triple: [Lucien Bonaparte, givenName, Lucien]
-
A.
Laurent
Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
-
B.
Antoine
Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
-
C.
Jules Gilliéron
Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la France.
-
D.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
-
E.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
- 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: Lucien Triple: [Lucien Bonaparte, givenName, Lucien]
Generated description
Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucien Target entity description: Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
-
A.
Laurent
Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
-
B.
Antoine
Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
-
C.
Jules Gilliéron
Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la France.
-
D.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
-
E.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cd6b98819080898934552a72f9 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b978de4819083b117ee3a6cb8c1 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c9a92008190a6336626faed36bd |
completed | March 7, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3d0fcdb88190b4c5e5ddf41e2716 |
completed | March 7, 2026, 2:58 p.m. |
Created at: March 1, 2026, 7:38 p.m.