Triple
T20178484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rest |
E492661
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andy Ernst |
—
|
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: Andy Ernst | Statement: [Rest, producer, Andy Ernst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Ernst Context triple: [Rest, producer, Andy Ernst]
-
A.
Andy Ernst
chosen
Andy Ernst is a music producer best known for his work on early punk rock and alternative albums, including Green Day’s breakthrough record "Kerplunk."
-
B.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
C.
Ron Bevirt
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
-
D.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
-
E.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.