Triple
T19574843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolph |
E489826
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Rodolphe (French given name) |
E799565
|
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: Rodolphe (French given name) | Statement: [Rudolph, hasCognate, Rodolphe (French given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodolphe (French given name) Context triple: [Rudolph, hasCognate, Rodolphe (French given name)]
-
A.
Jean-Rodolphe
Jean-Rodolphe is the given name of Jean-Rodolphe Perronet, an influential 18th-century French engineer renowned for his pioneering bridge designs.
-
B.
Rodolphe
chosen
Rodolphe is a masculine given name of French origin, historically borne by several notable European artists, writers, and public figures.
-
C.
Émile (French given name)
Émile is a French masculine given name that originated from the Latin name Aemilius and is borne by numerous notable figures in French history and culture.
-
D.
Rene Robert
Rene Robert was a Canadian right winger best known as a member of the Buffalo Sabres’ famed “French Connection” line in the 1970s.
-
E.
Claude-Oliver Rudolph
Claude-Oliver Rudolph is a German actor and filmmaker known for his intense character roles in film and television.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07578feebc819097d233618e09d1eb |
completed | May 15, 2026, 5:27 p.m. |
Created at: April 10, 2026, 1:42 p.m.