Triple
T9411439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodolphe Julian |
E226716
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Rodolphe
Rodolphe is a masculine given name of French origin, historically borne by several notable European artists, writers, and public figures.
|
E799565
|
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: Rodolphe | Statement: [Rodolphe Julian, givenName, Rodolphe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodolphe Context triple: [Rodolphe Julian, givenName, Rodolphe]
-
A.
Adolphe
Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
-
B.
Amédée
Amédée is a given name of French usage, corresponding to the Italian name Amedeo and ultimately derived from the Latin Amadeus.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Gustave
Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
-
E.
Franz
Franz is a German-language surname of Central European origin borne by various notable individuals.
- 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: Rodolphe Triple: [Rodolphe Julian, givenName, Rodolphe]
Generated description
Rodolphe is a masculine given name of French origin, historically borne by several notable European artists, writers, and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rodolphe Target entity description: Rodolphe is a masculine given name of French origin, historically borne by several notable European artists, writers, and public figures.
-
A.
Adolphe
Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
-
B.
Amédée
Amédée is a given name of French usage, corresponding to the Italian name Amedeo and ultimately derived from the Latin Amadeus.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Gustave
Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
-
E.
Franz
Franz is a character in Louisa May Alcott's novel "Little Men," one of the boys at Plumfield School whose experiences reflect the book's themes of growth, education, and moral development.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd525785d48190a76c9940712e093a |
completed | April 1, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11026b8688190b958ca65dae2d588 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d1120d29f881908c03fe9d6dbdafe4 |
completed | April 4, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d112634fb48190b4c7e9d997d27928 |
completed | April 4, 2026, 1:30 p.m. |
Created at: March 30, 2026, 7:47 p.m.