Triple
T18715461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Jones & The Dap-Kings |
E457625
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gabriel Roth |
—
|
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: Gabriel Roth | Statement: [Sharon Jones & The Dap-Kings, producer, Gabriel Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Roth Context triple: [Sharon Jones & The Dap-Kings, producer, Gabriel Roth]
-
A.
Gabriel Roth
chosen
Gabriel Roth is a musician, producer, and co-founder of Daptone Records, best known as the bassist, bandleader, and primary songwriter for Sharon Jones & The Dap-Kings.
-
B.
Liv Lerner
Liv Lerner is one of the two best friends at the center of the comedy film "Bride Wars," whose relationship is tested when their weddings are accidentally scheduled for the same day.
-
C.
Robert Jess Roth
Robert Jess Roth is an American theatre director best known for staging the original Broadway production of Disney’s Beauty and the Beast.
-
D.
Gabriel Weinstein
Gabriel Weinstein is an actor best known for playing the character Trash.
-
E.
Adam Mazer
Adam Mazer is an American screenwriter known for his work on films and television projects, often in the thriller and crime genres.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab611bc819085164f252ac3a390 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.