Triple
T18114910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Being with You |
E433579
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mike Piccirillo |
—
|
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: Mike Piccirillo | Statement: [Being with You, producer, Mike Piccirillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Piccirillo Context triple: [Being with You, producer, Mike Piccirillo]
-
A.
Mike Piccirillo
chosen
Mike Piccirillo is an American music producer and songwriter known for his work in pop and dance music during the late 20th century.
-
B.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
C.
Steve Pellegrini
Steve Pellegrini is a Canadian municipal politician who serves as the long-time mayor of the Township of King in Ontario.
-
D.
Jay Marotta
Jay Marotta is a sharp, high-powered divorce lawyer in the film "Marriage Story," known for his aggressive and strategic approach to legal battles.
-
E.
Sam Pirozzolo
Sam Pirozzolo is a New York State Assembly member and Republican politician representing parts of Staten Island.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.