Triple
T8786537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Time |
E209054
|
entity |
| Predicate | hasDrummer |
P15280
|
FINISHED |
| Object | Jerry Marotta |
E774006
|
NE FINISHED |
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: Jerry Marotta | Statement: [Big Time, hasDrummer, Jerry Marotta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Marotta Context triple: [Big Time, hasDrummer, Jerry Marotta]
-
A.
Jerry Marotta
chosen
Jerry Marotta is an American drummer and percussionist best known for his work with Peter Gabriel, Hall & Oates, and numerous other rock and pop artists.
-
B.
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.
-
C.
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.
-
D.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
E.
Marty Pasetta
Marty Pasetta was an American television producer and director best known for staging large-scale live broadcasts and variety specials, including high-profile music and awards shows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f76f27c819087aadf768df5adbf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017060fd08190bd053f988bd74048 |
completed | April 3, 2026, 7:37 p.m. |
Created at: March 30, 2026, 6:43 p.m.