Triple
T14534360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fat Albert |
E340999
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Rudy |
E341004
|
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: [Fat Albert, friendOf, Rudy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Context triple: [Fat Albert, friendOf, 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
chosen
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
Rudi is the official mascot of the Cleveland Gladiators arena football team, known for energizing fans at games and team events.
-
D.
Rudi
Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
-
E.
Rudy Challenger
Rudy Challenger was an American actor known for his supporting roles in 1970s film and television, including the blaxploitation crime film "Sheba, Baby."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea053f9bc8190901b9d321811d881 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a589d488190b4a192f33d11092d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.