Triple
T19365323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simply Deep |
E484384
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rob Fusari |
—
|
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: Rob Fusari | Statement: [Simply Deep, producer, Rob Fusari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Fusari Context triple: [Simply Deep, producer, Rob Fusari]
-
A.
Rob Fusari
chosen
Rob Fusari is an American record producer and songwriter best known for his work with artists like Destiny’s Child and Lady Gaga.
-
B.
Dan Fuselli
Dan Fuselli is a young, somewhat opportunistic American soldier in John Dos Passos’s novel "Three Soldiers," whose experiences reflect the dehumanizing effects of military life during World War I.
-
C.
John Fusco
John Fusco is an American screenwriter and producer best known for writing Western-themed films such as "Young Guns" and creating the Netflix series "Marco Polo."
-
D.
Mike Fasolo
Mike Fasolo is an American television writer best known for his work on the stop-motion animated sketch comedy series "Robot Chicken."
-
E.
Greg Maffei
Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.