Triple
T5419525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucien Bonaparte |
E121212
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Lucien |
E121212
|
NE FINISHED |
How this triple was built (2 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, hasGivenName, Lucien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucien Context triple: [Lucien Bonaparte, hasGivenName, Lucien]
-
A.
Lucien
chosen
Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
-
B.
Maxime
Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
-
C.
Donatien
Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
-
D.
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.
-
E.
Laurent
Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e8f1cc81908b997f8a417697c0 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4123bab881908379e7612d5b39b9 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:05 p.m.