Triple
T19938935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Goldberg |
E479250
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Meatballs |
—
|
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: Meatballs | Statement: [Daniel Goldberg, notableWork, Meatballs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meatballs Context triple: [Daniel Goldberg, notableWork, Meatballs]
-
A.
Meatballs
chosen
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
-
B.
One Meat Ball
"One Meat Ball" is a traditional American folk song, popularized in the 1940s, about a poor man who can afford only a single meatball at a restaurant.
-
C.
Meatballs Part II
Meatballs Part II is a 1984 comedy film that continues the summer-camp hijinks of the original Meatballs with a new cast, outlandish gags, and a more fantastical, slapstick tone.
-
D.
Capriccioli
Capriccioli is a picturesque sandy beach on Sardinia’s famed Costa Smeralda, known for its clear turquoise waters and granite rock formations.
-
E.
Cappelletti
Cappelletti is an Italian surname associated with various notable individuals in sports, politics, and the arts.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.