Triple
T18416029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Julius Kelp |
E441891
|
entity |
| Predicate | hasAlterEgo |
P39
|
FINISHED |
| Object | Buddy Love |
—
|
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: Buddy Love | Statement: [Professor Julius Kelp, hasAlterEgo, Buddy Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddy Love Context triple: [Professor Julius Kelp, hasAlterEgo, Buddy Love]
-
A.
Buddy Love
chosen
Buddy Love is the brash, womanizing alter ego of Professor Sherman Klump in the Nutty Professor films, embodying his unleashed id and confidence.
-
B.
Buddy Slade
Buddy Slade is a former high school jock and Mavis Gary’s married ex-boyfriend in the dark comedy film "Young Adult."
-
C.
Buddy Johnson
Buddy Johnson is a screenwriter best known for his work on the horror-comedy parody film "Scary Movie."
-
D.
Buddy Young Jr.
Buddy Young Jr. is the brash, aging stand-up comedian at the center of the film "Mr. Saturday Night," whose career highs and personal flaws are explored with both humor and pathos.
-
E.
Lonnie
Lonnie is the given first name of American country music singer and songwriter Mel Tillis.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a278fdc8190aa81a2ade682d942 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.