Triple
T7941852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudy Gobert |
E184410
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rudy |
E312738
|
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: Rudy | Statement: [Rudy Gobert, givenName, Rudy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Context triple: [Rudy Gobert, givenName, Rudy]
-
A.
Rudy
Rudy is a 1993 American sports drama film about an underdog's determined quest to play football for the University of Notre Dame.
-
B.
Rudy
Rudy is a stylish, street-smart member of the kids’ group in the animated series "Fat Albert and the Cosby Kids," known for his sharp clothes and sometimes cocky attitude.
-
C.
Rudi
chosen
Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
-
D.
Uncle Rudi
Uncle Rudi is a famous 1965 photorealistic painting by Gerhard Richter depicting his uncle in a Nazi uniform, often cited as a key work in his exploration of memory and Germany’s Nazi past.
-
E.
Rodney
Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:09 p.m.