Triple
T16020114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am... I Said |
E388576
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tom Catalano |
—
|
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: Tom Catalano | Statement: [I Am... I Said, producer, Tom Catalano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Catalano Context triple: [I Am... I Said, producer, Tom Catalano]
-
A.
Tom Catalano
chosen
Tom Catalano is an American record producer best known for his work with artists like Neil Diamond, including producing the hit song "Sweet Caroline."
-
B.
John Macaluso
John Macaluso is a businessman best known as the husband of former model Nadine Caridi, who was previously married to stockbroker Jordan Belfort.
-
C.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
D.
Anthony DeLuca
Anthony DeLuca is a character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
-
E.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183222e4c81909a3ab51446b671bd |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 10, 2026, 4:55 a.m.