Triple
T22854903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Game of Love |
E566452
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dante Ross |
—
|
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: Dante Ross | Statement: [The Game of Love, producer, Dante Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dante Ross Context triple: [The Game of Love, producer, Dante Ross]
-
A.
Dante Ross
chosen
Dante Ross is an American hip-hop A&R executive and record producer known for his influential work with prominent rap and alternative artists since the late 1980s.
-
B.
Dante Falconeri
Dante Falconeri is a fictional police detective on the soap opera "General Hospital," known as the son of mob boss Sonny Corinthos and Olivia Falconeri.
-
C.
Dante Ricci
Dante Ricci is a sibling of American actress Christina Ricci, known primarily for his family connection to the Hollywood star.
-
D.
Dante Lavelli
Dante Lavelli was a Hall of Fame American football wide receiver best known for his prolific career with the Cleveland Browns in the 1940s and 1950s.
-
E.
Dante Hicks
Dante Hicks is a beleaguered convenience store clerk and the central everyman protagonist of Kevin Smith’s film "Clerks."
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebb4ea48190b4b865e316f6a75f |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:37 p.m.