Triple
T20188565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralf Schumacher |
E492925
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ralf |
—
|
NE NERFINISHED |
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: Ralf | Statement: [Ralf Schumacher, givenName, Ralf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralf Context triple: [Ralf Schumacher, givenName, Ralf]
-
A.
Ralf
chosen
Ralf is a masculine given name of German origin commonly used in German-speaking and Scandinavian countries.
-
B.
Rolf
Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
-
C.
Rudi
Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
-
D.
Rudi
Rudi is the official mascot of the Cleveland Gladiators arena football team, known for energizing fans at games and team events.
-
E.
Ralf Claus
Ralf Claus is a German local politician who serves as the mayor of the town of Ingelheim am Rhein.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad404508190981cfb7cab18d8d3 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.