Triple
T20042617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Rider |
E497462
|
entity |
| Predicate | vocalist |
P2000
|
FINISHED |
| Object | Jesse Michaels |
—
|
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: Jesse Michaels | Statement: [Common Rider, vocalist, Jesse Michaels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Michaels Context triple: [Common Rider, vocalist, Jesse Michaels]
-
A.
Jesse Michaels
chosen
Jesse Michaels is an American musician and artist best known as the lead vocalist and lyricist of the influential ska punk band Operation Ivy.
-
B.
Joey Horvitz
Joey Horvitz is a film producer known for his work on the thriller "Awake."
-
C.
Grant Shaffer
Grant Shaffer is an American illustrator, storyboard artist, and graphic novelist known for his work in film, advertising, and publishing.
-
D.
Jack Shaindlin
Jack Shaindlin was a Russian-born American composer, conductor, and music director known for his prolific work in film, television, and newsreel scores during the mid-20th century.
-
E.
Mike Kellin
Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.