Triple
T17534506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Boys: Ride or Die |
E427020
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | George Gallo |
—
|
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: George Gallo | Statement: [Bad Boys: Ride or Die, basedOnWorkBy, George Gallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Gallo Context triple: [Bad Boys: Ride or Die, basedOnWorkBy, George Gallo]
-
A.
George Gallo
chosen
George Gallo is an American screenwriter and filmmaker best known for creating the characters behind the "Bad Boys" action-comedy film franchise.
-
B.
Arthur Gallucci
Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
-
C.
Frank Galati
Frank Galati was an American director, adapter, and screenwriter known for his acclaimed stage and film adaptations of literary works.
-
D.
Armando Joseph Greco
Armando Joseph Greco, better known as Buddy Greco, was an American jazz and pop singer and pianist renowned for his smooth vocal style and prolific recording career.
-
E.
Donald Gennaro
Donald Gennaro is a lawyer representing InGen in the Jurassic Park franchise, known for his ill-fated visit to the dinosaur theme park.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536ac7f48190994f7b39a6a811d7 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.